The present disclosure relates to magneto-elastic torque sensors.
Torque sensors are typically used in vehicular sub-systems, such as electronic power-assisted steering systems. Torque sensors used in electronic power-assisted steering systems may be influenced by thermal errors, for example, due to heat radiating from the engine compartment. To account for thermal error, torque sensors may employ a switch to change modes between torque and temperature measurement. These solutions, however increase cost of the sensor, and do not continuously measure torque. In addition, a magnetic field arising from the temperature measurement has a negative effect on an accuracy of torque detection. These additional thermistors and switch limit a possibility of a low cost torque sensor. As such, there is a need in the art for systems and methods for addressing at least the aforementioned problems.
This Summary introduces a selection of concepts in a simplified form that are further described below in the Detailed Description below. This Summary is not intended to identify key features or essential features of the claimed subject matter.
One example of a torque sensor assembly is provided. The torque sensor assembly comprises a shaft configured to receive an applied torque and comprising at least one region being magneto-elastic and being configured to generate a magnetic field in response to the applied torque. The torque sensor assembly comprises a first pair of sensing coils disposed adjacent to the region and being configured to sense the magnetic field. A sensor is configured to sense a temperature of each of the sensing coils and a controller is coupled to the first pair of sensing coils and the sensor. The controller is configured to receive the sensed temperature of each of the sensing coils and determine a temperature difference between the sensing coils. The controller is configured to generate an output signal based on the sensed magnetic field wherein the output signal accounts for the temperature difference between the sensing coils.
One example of a method of operating a torque sensor assembly is provided. The torque sensor assembly comprises a shaft configured to receive an applied torque and comprising at least one region being magneto-elastic and being configured to generate a magnetic field in response to the applied torque. The torque sensor assembly comprises a first pair of sensing coils disposed adjacent to the region and being configured to sense the magnetic field. A sensor is configured to sense a temperature of each of the sensing coils and a controller is coupled to the first pair of sensing coils and the sensor. The method comprises the controller receiving the sensed temperature of each of the sensing coils and determining a temperature difference between the sensing coils. The method comprises the controller generating an output signal based on the sensed magnetic field wherein the output signal accounts for the temperature difference between the sensing coils.
One example of a vehicular sub-system is provided. The vehicular sub-system comprises a vehicular component configured to provide an applied torque and a torque sensor assembly configured to be coupled with the vehicular component. The torque sensor assembly comprises a shaft configured to receive the applied torque and at least one region being magneto-elastic and being configured to generate a magnetic field in response to the applied torque. The torque sensor assembly comprises a pair of sensing coils disposed adjacent to the region and being configured to sense the magnetic field. A sensor is configured to sense a temperature of each of the sensing coils and a controller is coupled to the pair of sensing coils and the sensor. The controller is configured to receive the sensed temperature of each of the sensing coils and determine a temperature difference between the sensing coils. The controller is configured to generate an output signal based on the sensed magnetic field wherein the output signal accounts for the temperature difference between the sensing coils.
Advantages of the torque sensor assembly and methods of operating the same are described herein and will be understood in view of the Detailed Description and Drawings.
Other aspects, features, and advantages of the present invention will become more fully apparent from the detailed description, the appended claims, and the accompanying drawings wherein like reference numerals identify similar or identical elements.
Referring to the Figures, an exemplary vehicle 17 is shown in
The steering assembly 19 additionally includes a power steering system 25. In the embodiment illustrated in the Figures, the power steering system 25 is an electric power steering system. However, it is contemplated that the power steering system 25 may be any power steering system as known by one of ordinary skill in the art. The power steering system 25 may be programmable such that the power steering system 25 can account for various vehicle conditions. In one exemplary embodiment, the power steering system 25 includes a controller 72 which may receive and deliver various inputs and outputs to and from various portions of the vehicle 17. Additionally, the controller 72 may execute various calculations and computations based on one or more inputs from a torque sensor assembly 10, described in more detail below.
Referring to the instance of
Although the shaft 12, as shown in
As shown in
In the instance of
As discussed in more detail below,
At least one sensor 24 is configured to sense a temperature of each sensing coil 16. One or more sensors 24 may be utilized with the sensing coils 16. For example, one sensor 24 may sense a temperature of both sensing coils 16. Alternatively, one sensor 24 may sense the temperature of one of the sensing coils 16 while a second sensor 24 senses the temperature of the other sensing coil 16 of the pair. Examples of the sensor(s) 24 include, but are not limited to resistive temperature detectors, thermocouples, or any other sensor configured to sense a temperature of both sensing coils 16.
A controller 72 may be used with the torque sensor assembly 10 and is coupled to the sensing coils 16 and the sensor 24. The controller 72 may be a microprocessor or signal processing unit (SPU) and can comprise memory storing non-transitory computer readable instructions, which when executed perform any of the capabilities described herein. The controller 72 can be a unit separate connected to or integrated into the same assembly as the shaft 12, sensors 24, and coils 16
As will be described below, the controller 72 is configured to receive the sensed temperature of each of the sensing coils 16 from the sensor 24. The controller 72 determines a temperature difference between the sensing coils 16, and generates an output signal based on the sensed magnetic field. The output signal accounts for the temperature difference between the sensing coils 16.
The controller 72 comprises an oscillator 26 for energizing the coils 16 such that the coils 16 can sense the magnetic field. In one example, the oscillator 26 generates two opposite phase square wave signals that are received by first and second buffers 32, 34. The buffered square wave signals from the first and second buffers 32, 34 are input into the first pair of sensing coils 16. An amplitude and frequency of voltage of the square wave signals are selected so that an amplitude of the alternating magnetic field generated within the first pair of sensing coils 16 as a result of induced current within the coils 16 is such that cores of the first pair of sensing coils 16 become periodically saturated. In one example, the first pair of sensing coils 16 are driven into a saturated state twice every cycle of an oscillator signal. To ensure good stability and low noise, a core material should be driven well into deep saturation (by 10 and more times of its saturation field, for example).
First and second resistors R1, R2 are connected to an output of each sensing coil 16. The electrical current inducted by the sensing coils 16 is passed through each of the first and second resistors R1, R2. The sensor(s) 24 is further configured to sense the temperature of each sensing coil 16 by measuring a voltage across each of the first and second resistors R1, R2. An output of the sensing coils 16 through the first and second resistors R1, R2 are electrically tied to a common node 36. The common node 36 is also connected to an input of a scanning multiplexer 38, discussed in more detail below and a third resistor R3. When cores of the sensing coils 16 saturate, inductance of the sensing coils 16 is reduced accordingly. As long as the pair of sensing coils 16 saturate symmetrically and simultaneously during excitation, inductance of the first pair of sensing coils 16 is equal, and alternating voltage at the common node 36 corresponding to voltage is essentially zero. A total magnetic field experienced by the pair of sensing coils 16 is a sum of magnetic fields generated by the pair of sensing coils 16, the shaft 12, and any external magnetic fields. When a magnetic field is generated by the first region 14 due to applied torque 11 being applied to the shaft 12, this magnetic field is superimposed upon a magnetic field created by excitation current within the first pair of sensing coils 16.
Field superposition will result in a periodic asymmetrical saturation of the first and second pairs of sensing coils 16, 42 due to opposing magnetization of the two magnetically anisotropic active regions 44, 46 of the first region 14 of the shaft 12 and the first and second pairs of sensing coils 16, 42 connection in series in opposite directions.
In a first half of an excitation cycle of the first and second pairs of sensing coils 16, 42, there is an addition of a magnetic field generated by the two active regions 44, 46 and the magnetic field created by excitation current in the first pair of sensing coils 16. In the same first half of the excitation cycle, there is a subtraction of the magnetic fields in the second pair of sensing coils 42. In the second half of the excitation cycle, opposing processes take place. For example, a subtraction of magnetic fields in the first pair of sensing coils 16 and an addition of magnetic fields in the second pair of sensing coils 42. Consequently, inductance of both the first and second pairs of sensing coils 16, 42 will not be equal over the excitation cycle. A summation of coil voltages at the common node 36 corresponding to a voltage will contain a periodic waveform containing even-order harmonics of a frequency of the oscillator signal, discussed in more detail below. An amplitude and phase of the second-harmonic component of the voltage is proportional to an amplitude and direction of the magnetic field generated by the two active regions 44, 46 of the shaft 12 and, correspondingly, to the applied torque 11 applied to the shaft 12.
If an ambient magnetic field is applied to the first and/or second pair of sensing coils 16, 42, an asymmetrical saturation of the coils' cores results. However, a summation signal resulting from addition of voltages of the first and/or second pair of sensing coils 16, 42 will consist of only odd-order harmonics of the frequency of the oscillator signal.
Additionally, a configuration with two pairs of magnetically anisotropic active regions 44, 46, and two serially connected pairs of sensing coils 16, 42 in each of multiple parallel circuits may also provide a magneto-elastic torque sensor assembly 10 with temperature dependent error compensation. A parallel connection of two or more of serially connected pairs of sensing coils 16, 42 in each half of the sensing coils circuit may also provide a magneto-elastic torque sensor assembly 10 with temperature dependent error compensation. The processes of torque measurement described below and estimation of temperature and temperature gradient Tleft, Tright, ΔT between the sensing coils are identical for all presented configurations.
The diagrams of
In
Still referring to
The scanning multiplexer 38 periodically connects nodes corresponding to voltages to the analog-to-digital converter 64 as input. As will be described in more detail below, the voltages may be input into the scanning multiplexer as five segments. The first voltage V1 is input into the scanning multiplexer 38 from the first pair of sensing coils 16 and the first buffer 32. The first voltage V1 may be used to calculate a temperature of the first pair of sensing coils 16. The second voltage V2 is input into the scanning multiplexer 38 from the second pair of sensing coils 42 and the second buffer 34. The second voltage may be used to calculate a temperature of the second pair of sensing coils 42.
The third voltage V3 is input into the scanning multiplexer 38 from the first resistor R1 and the first pair of sensing coils 16. The third voltage may be used to calculate a temperature of the first pair of sensing coils 16. The fourth voltage V4 is input into the scanning multiplexer 38 from the second resistor R2 and the second pair of sensing coils 42. The fourth voltage V4 may be used to calculate a temperature of the second pair of sensing coils 42. The fifth voltage is input into the scanning multiplexer 38 from the common node 36. The fifth voltage V5 may be used as a torque signal when compensating for the temperature and temperature differences of the first, second, third and fourth voltages V1, V2, V3, and V4.
The analog-to-digital converter 64 samples the analog signals of V1-V5 from the scanning multiplexer 38 using a scanning frequency corresponding to Nyquist rules to reduce aliasing. Digitized voltages from the analog-to-digital converter 64 are input signals for the temperature and temperature gradient detector 68 and an input signal for the second harmonic detector 66. An output signal of the second harmonic detector 66 is a resulting torque signal, which is also fed back through the feedback pulse-width modulator 62 and feedback circuit 48 to the common node 36 in order to provide a compensating current combined with current of exciting the first and/or second pairs of sensing coils 16, 42.
The feedback pulse-width modulator 62 transforms a value of the output signal of the second harmonic detector 66 to a pulse-width-modulated signal and outputs the output signal to the feedback circuit 48. The feedback circuit 48 is a buffered, low-pass filter with an output resistor 56, being the fourth resistor 56. Feedback current if within the first and/or second pairs of sensing coils 16, 42 create a magnetic field exactly opposing a magnetic field generated by the two active regions 44, 46 of the shaft 12 so that cores of the first and second pairs of sensing coils 16, 42 operate at zero average field. The feedback current if injected into the first and second pairs of sensing coils 16, 42 is directly proportional to the applied torque 11 applied to the shaft 12.
Ideally, because cores of the first and/or second pair of sensing coils 16, 42 operate at zero average field, there will not be any temperature-related effects of gain or offset on a torque signal. But, temperature-related effects of gain or offset are impossible when parameters of the first and/or second pair of sensing coils 16, 42 are ideally matched (especially, for example, when all active resistances are the same) and when the first and/or second pair of sensing coils 16, 42 have the same temperature (absence of temperature gradient). An initial mismatch of active resistances of the first and/or second pair of sensing coils 16, 42 and different drifts occur because of temperature changes of the first and/or second pair of sensing coils 16, 42. In turn, this leads to different equivalent voltages applied to the first and/or second pair of sensing coils 16, 42. A summation of voltages of the first and/or second pair of sensing coils 16, 42 at the common node 36 corresponding to voltage will contain a parasitic, and dependent on temperature and temperature gradient waveform. The summation of voltages of the first and/or second pair of sensing coils 16, 42 will also contain a periodic waveform containing even-order harmonics of a frequency of a signal from the oscillator 26. This is the source of torque measurement error.
The first and second resistors R1, R2, the scanning multiplexer 38, the common node 36, the temperature and temperature gradient detector 68, and the torque output signal compensator 70 detect a temperature, as described previously, of the first and second pairs of sensing coils 16, 42 by estimating an active resistance of the first and second sensing coils 16, 42 during torque measurement. As described above, voltage is digitized, through the analog-to-digital converter 64 and input to the second harmonic detector 66. Voltage, once digitized through the analog-to-digital converter 64, is also input into the temperature and temperature gradient detector 68. The temperature and temperature gradient detector 68 makes an estimation of active resistances of the first and second pairs of sensing coils 16, 42 to measure a temperature and temperature gradient of the first and/or second pair of sensing coils 16, 42.
Once digitized, voltage is divided into five discrete segments. For example, voltage may be divided into the first voltage V1, the second voltage V2, the third voltage V3, the fourth voltage V4, and the fifth voltage V5. The fifth voltage V5 is input into the second harmonic detector 66, whereas the first V1, second V2, third V3 and fourth voltage V4 are input into the temperature and temperature gradient detector 68. The active resistance estimation process is identical for both the first and second pairs of sensing coils 16, 42. Voltages V1, V3 and V5 are used for active resistance estimation of the first pair of sensing coils 16 and voltages V2, V4 and V5 are used for active resistance estimation of the second pair of sensing coils 42. These digitized voltages are discussed in more detail with reference to the other Figures.
Referring to
At 112, the controller 72 is also configured to determine a temperature difference between each sensing coil of the first and second pairs of sensing coils 16, 42 using the temperature and temperature gradient detector 68. Using the temperature difference between each of the sensing coils of the first and/or second pair of sensing coils 16, 42, the controller 72 generates an output signal from the torque output signal compensator 70 at 114. At 114, the controller 72 generates the output signal so that the output signal accounts for the temperature difference between each sensing coil of the first and second pairs of sensing coils 16, 42. Generating the output signal, through the controller 72 at 114, allows the torque sensor assembly 10 to adequately compensate for the temperature of the first and/or second pair of sensing coils 16, 42 during use to reduce thermal error in the torque sensor assembly 10. While described and shown as sequential, the steps of the method 100 may be used or performed in any order to adequately compensate for the temperature of the first and/or second pair of sensing coils 16, 42.
The controller 72 is configured to estimate an active resistance of the first pair of sensing coils 16 in response to the magnetic field sensed by the first pair of sensing coils 16. For example, as described in more detail below, a temperature difference between each sensing coil of the first and/or second pairs of sensing coils 16, 42 is further defined as a temperature gradient, and the controller 72 is configured to correlate the active resistance to the temperature gradient. The controller 72 may be further configured to access a look-up table stored in the memory to correlate the active resistance to the temperature gradient. The memory of the controller 72 may be an EPROM, EEPROM or any other memory suitable for temperature compensation of the torque sensor assembly 10.
Referring to
The temperature and temperature gradient detector 68 estimates the active resistances of first and second pairs of sensing coils 16, 42. The active resistance estimation process through the temperature and temperature gradient detector 68 is identical for both the first and second pairs of sensing coils 16, 42. The first, third and fifth voltages V1, V3 and V5 are used for active resistance estimation of the first pair of sensing coils 16 and the second, fourth and fifth voltages V2, V4 and V5 are used for active resistance estimation of second pair of sensing coils 42. These digitized voltages are presented in
Vcoils_left=V1−V3;
Icoils_left=(V3−V5)/R1;
The temperature and temperature gradient detector 68 defines the second, fourth and fifth voltages V2, V4 and V5 for the second pair of sensing coils 42 as:
Vcoils_right=V2−V4;
Icoils_right=(V4−V5)/R2;
In the equations above, Vcoils_left and Vcoils_right represent voltage drops on corresponding first and second pairs of sensing coils 16, 42. Additionally, in the equations above, Icoils_left and Icoils_right represent current through corresponding first and second pairs of sensing coils 16, 42.
Referring to
Rcoils_left=abs{[Vcoils_left(t1)−Vcoils_left(t2)]/[Icoils_left(t1)−Icoils_left(t2)]};
Rcoils_right=abs{[Vcoils_right(t1)−Vcoils_right(t2)]/[Icoils_right(t1)−Icoils_right(t2)]};
A copper, coil wire defines a high and stable temperature coefficient for volume resistivity with very few variations. The estimation of the active resistance of the first and second pairs of sensing coils 16, 42 enables a detection of a corresponding temperature Tleft, Tright for each of the first and second pairs of sensing coils 16, 42, and a temperature gradient ΔT between the first and second pairs of sensing coils 16, 42.
The corresponding temperature and the temperature gradient Tleft, Tright, ΔT, as well as a ratio of the corresponding temperature Tleft/Tright for each of the first and second pairs of sensing coils 16, 42 with the resulting torque output signal from the second harmonic detector 66 serve as inputs to the torque output signal compensator 70. The torque output signal compensator 70 corrects a measured torque value according to a weighted linear correction function defined as:
Torque_output_signal=Torque*(1+a1*Tleft+a2*Tright+a3*ΔT+a4*Tleft/Tright);
Alternatively, a polynomial function may be used by the torque output signal compensator 70 to correct a measured torque value. The polynomial function may also define a more precise output signal from the torque output signal compensator 70 compared with the simpler weighted linear correction function above. The polynomial function may be defined as:
Torque_output_signal=Torque*(1+a1*Tleft+a2*Tright+a3*ΔT+a4*Tleft/Tright+a5*T2left+a6*T2right+a7*ΔT2+ . . . );
Where, coefficients {ai} are weights of corresponding factors.
For example, approximately 1Ω of resistance difference may be detected, which corresponds to a temperature gradient ΔT of approximately 10° C. Resolution of resistance detection is approximately 0.1Ω, which leads to good resolution for temperature estimation by the temperature and temperature gradient detector 68. The torque output signal is corrected by the torque signal compensator 70 with the simplest linear correction by using the ratio of corresponding temperature Tleft/Tright for each of the first and second pairs of sensing coils 16, 42. A total temperature error of a measured torque was near zero.
The above described magneto-elastic torque sensor assembly 10 with temperature dependent error compensation provides a multiplicity of advantages. For example, the above described magneto-elastic torque sensor assembly 10 provides an estimation of the temperature and temperature gradient for the first and second pairs of sensing coils 16, 42 without any influence to the measured torque. The magneto-elastic torque sensor assembly 10 with temperature dependent error compensation also provides a low cost and high precision torque sensor assembly 10 due to realization of most sensory blocks as software functions defined in the controller 72 according to the controller 72. A further advantage of the magneto-elastic torque sensor assembly 10 with temperature dependent error compensation is that the estimation of the temperature and the temperature gradient Tleft, Tright, ΔT between each of the first and second pairs of sensing coils 16, 42 uses the same AC signal as the torque measurement process.
The advantages described above are due to the states of the magnetic cores of the first and second pairs of sensing coils 16, 42 being not affected by the temperature detection process. Further, the process of estimation of the temperature and the temperature gradient Tleft, Tright, ΔT between each of the first and second pairs of sensing coils 16, 42 is based on the temperature coefficient for volume resistivity of coil copper wire, which is high, stable and has very few variations. Lastly, the process of estimation of the temperature and the temperature gradient Tleft, Tright, ΔT between each of the first and second sensing coils 16, 42 is based on peak-to-peak values of voltages, which leads to low noise influence on the estimation of the coils' active resistance.
Several instances have been described in the foregoing description. However, the instances discussed herein are not intended to be exhaustive or limit the invention to any particular form. The terminology, which has been used, is intended to be in the nature of words of description rather than of limitation. Many modifications and variations are possible in light of the above teachings and the invention may be practiced otherwise than as specifically described.
The many features and advantages of the invention are apparent from the detailed specification, and thus, it is intended by the appended claims to cover all such features and advantages of the invention which fall within the true spirit and scope of the invention. Further, since numerous modifications and variations will readily occur to those skilled in the art, it is not desired to limit the invention to the exact construction and operation illustrated and described, and accordingly, all suitable modifications and equivalents may be resorted to, falling within the scope of the invention.
Number | Name | Date | Kind |
---|---|---|---|
3263796 | Parke | Aug 1966 | A |
4656750 | Pitt et al. | Apr 1987 | A |
4896544 | Garshelis | Jan 1990 | A |
4989460 | Mizuno et al. | Feb 1991 | A |
5307690 | Hanazawa | May 1994 | A |
5419207 | Kobayashi et al. | May 1995 | A |
5522269 | Takeda et al. | Jun 1996 | A |
5526704 | Hoshina et al. | Jun 1996 | A |
5562004 | Kaise et al. | Oct 1996 | A |
5589645 | Kobayashi et al. | Dec 1996 | A |
5939881 | Slater et al. | Aug 1999 | A |
6047605 | Garshelis | Apr 2000 | A |
6222363 | Cripe | Apr 2001 | B1 |
6278271 | Schott | Aug 2001 | B1 |
6341534 | Dombrowski | Jan 2002 | B1 |
6499559 | McCann et al. | Dec 2002 | B2 |
6522130 | Lutz | Feb 2003 | B1 |
6768301 | Hohe et al. | Jul 2004 | B1 |
6807871 | Paek | Oct 2004 | B1 |
7235968 | Popovic et al. | Jun 2007 | B2 |
7308835 | Cripe | Dec 2007 | B2 |
7362096 | Oberdier | Apr 2008 | B2 |
7389702 | Ouyang et al. | Jun 2008 | B2 |
7391211 | Cripe | Jun 2008 | B2 |
7409878 | Von Beck | Aug 2008 | B2 |
7506554 | Shimizu | Mar 2009 | B2 |
7969148 | Noguchi et al. | Jun 2011 | B2 |
8087304 | Lee | Jan 2012 | B2 |
8373410 | Frachon | Feb 2013 | B2 |
8578794 | Lee | Nov 2013 | B2 |
8677835 | Goto | Mar 2014 | B2 |
8844379 | Pietron et al. | Sep 2014 | B2 |
8890514 | Masson et al. | Nov 2014 | B2 |
9024622 | Hohe et al. | May 2015 | B2 |
9151686 | Barraco et al. | Oct 2015 | B2 |
9254863 | Kuwahara | Feb 2016 | B2 |
9494661 | Paul et al. | Nov 2016 | B2 |
9575141 | Rohrer | Feb 2017 | B2 |
9683906 | Gießibl | Jun 2017 | B2 |
10151652 | Gie ibl | Dec 2018 | B2 |
20010029791 | Sezaki | Oct 2001 | A1 |
20040119470 | Yajima | Jun 2004 | A1 |
20050204830 | Kuroda et al. | Sep 2005 | A1 |
20050204831 | Mori et al. | Sep 2005 | A1 |
20070028709 | Futamura et al. | Feb 2007 | A1 |
20070034021 | Cripe | Feb 2007 | A1 |
20070096724 | Oberdier | May 2007 | A1 |
20080048179 | Shin et al. | Feb 2008 | A1 |
20080221399 | Zhou et al. | Sep 2008 | A1 |
20090072818 | Mizuno et al. | Mar 2009 | A1 |
20100097059 | Estrada et al. | Apr 2010 | A1 |
20100156394 | Ausserlechner et al. | Jun 2010 | A1 |
20100328799 | Braganca et al. | Dec 2010 | A1 |
20110106557 | Gazula | May 2011 | A1 |
20110162464 | Weng | Jul 2011 | A1 |
20120007597 | Seeger et al. | Jan 2012 | A1 |
20120007598 | Lo et al. | Jan 2012 | A1 |
20130125669 | Barraco et al. | May 2013 | A1 |
20130181702 | May | Jul 2013 | A1 |
20130218517 | Ausserlechner | Aug 2013 | A1 |
20130285651 | Wan et al. | Oct 2013 | A1 |
20140195117 | Kuwahara | Jul 2014 | A1 |
20140197820 | Ritter et al. | Jul 2014 | A1 |
20140197822 | Ritter et al. | Jul 2014 | A1 |
20140354270 | Kawano et al. | Dec 2014 | A1 |
20150057885 | Brady et al. | Feb 2015 | A1 |
20150230294 | Tonomura | Aug 2015 | A1 |
20150253162 | Kusumi et al. | Sep 2015 | A1 |
20150274204 | Shiraishi et al. | Oct 2015 | A1 |
20160121924 | Norstad | May 2016 | A1 |
20160238472 | Gie ibl | Aug 2016 | A1 |
20170324930 | Shaya | Nov 2017 | A1 |
20170356822 | Gie ibl | Dec 2017 | A1 |
20170370788 | Neuschaefer-Rube et al. | Dec 2017 | A1 |
20180231425 | Raths Ponce | Aug 2018 | A1 |
20190178683 | Tetreault et al. | Jun 2019 | A1 |
20200088594 | Simard | Mar 2020 | A1 |
Number | Date | Country |
---|---|---|
2903949 | May 2007 | CN |
3206503 | Aug 1983 | DE |
102015202240 | Feb 2016 | DE |
0067974 | Dec 1982 | EP |
0217640 | Apr 1987 | EP |
0362890 | Apr 1990 | EP |
0609463 | Aug 1994 | EP |
0697602 | Feb 1996 | EP |
0947846 | Oct 1999 | EP |
1206707 | May 2002 | EP |
1211494 | Jun 2002 | EP |
1243905 | Sep 2002 | EP |
1319934 | Jun 2003 | EP |
1400795 | Mar 2004 | EP |
1518131 | Mar 2005 | EP |
1668378 | Jun 2006 | EP |
1795864 | Jun 2007 | EP |
1949057 | Jul 2008 | EP |
1950545 | Jul 2008 | EP |
2049910 | Apr 2009 | EP |
2260278 | Dec 2010 | EP |
2065691 | Dec 2011 | EP |
2527857 | Nov 2012 | EP |
1386127 | Jan 2013 | EP |
2766740 | Aug 2014 | EP |
2799827 | Nov 2014 | EP |
2806283 | Nov 2014 | EP |
S6141935 | Feb 1986 | JP |
H0116349 | Mar 1989 | JP |
H01187425 | Jul 1989 | JP |
H02280023 | Nov 1990 | JP |
H02280024 | Nov 1990 | JP |
H041542 | Jan 1992 | JP |
H04191630 | Jul 1992 | JP |
H0545240 | Feb 1993 | JP |
H05066164 | Mar 1993 | JP |
H05126654 | May 1993 | JP |
H0540849 | Jun 1993 | JP |
H0543040 | Jun 1993 | JP |
H0545537 | Jun 1993 | JP |
H05045538 | Jun 1993 | JP |
H05231966 | Sep 1993 | JP |
H05231967 | Sep 1993 | JP |
H05346360 | Dec 1993 | JP |
H06014939 | Feb 1994 | JP |
H0674844 | Mar 1994 | JP |
H0628673 | Apr 1994 | JP |
H06047832 | Jun 1994 | JP |
H06258158 | Sep 1994 | JP |
H06300647 | Oct 1994 | JP |
H06323930 | Nov 1994 | JP |
H072943 | Jan 1995 | JP |
H0780756 | Mar 1995 | JP |
H07159258 | Jun 1995 | JP |
H0743521 | Aug 1995 | JP |
H085477 | Jan 1996 | JP |
H08043216 | Feb 1996 | JP |
H0985587 | Mar 1997 | JP |
H0995247 | Apr 1997 | JP |
H09189624 | Jul 1997 | JP |
2001050830 | Feb 2001 | JP |
2002333375 | Nov 2002 | JP |
2002340701 | Nov 2002 | JP |
2003307460 | Oct 2003 | JP |
2004053433 | Feb 2004 | JP |
2004053434 | Feb 2004 | JP |
2004053435 | Feb 2004 | JP |
2004225096 | Aug 2004 | JP |
2004264188 | Sep 2004 | JP |
2005321272 | Nov 2005 | JP |
2006010669 | Jan 2006 | JP |
2006126130 | May 2006 | JP |
2007101427 | Apr 2007 | JP |
2007181327 | Jul 2007 | JP |
2008026160 | Feb 2008 | JP |
2009122042 | Jun 2009 | JP |
2013053954 | Mar 2013 | JP |
2013053957 | Mar 2013 | JP |
2015009602 | Jan 2015 | JP |
2015010870 | Jan 2015 | JP |
20050075880 | Jul 2005 | KR |
20050093025 | Sep 2005 | KR |
20060054775 | May 2006 | KR |
20070004377 | Jan 2007 | KR |
200118556 | Mar 2001 | WO |
200192906 | Dec 2001 | WO |
2003006922 | Jan 2003 | WO |
200405873 | Jan 2004 | WO |
2004003585 | Jan 2004 | WO |
2005029106 | Mar 2005 | WO |
200554803 | Jun 2005 | WO |
2007092402 | Aug 2007 | WO |
2008017348 | Feb 2008 | WO |
2011119317 | Sep 2011 | WO |
2013053534 | Apr 2013 | WO |
2017199063 | Nov 2017 | WO |
2017214361 | Dec 2017 | WO |
2018109674 | Jun 2018 | WO |
Entry |
---|
Supplementay European Search Report for Application EP 16 90 2283.7 dated Nov. 18, 2019, 2 pages. |
English language abstract for JPH0545240A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH0566164A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH06258158A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH06300647A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH06323930A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH0674844A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH07159258A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH0780756A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH0843216A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH085477A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH09189624A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH0985587A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH0995247A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPS6141935A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for KR20070004377A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for WO0118556A1 extracted from espacenet.com database on Jan. 7, 2019, 2 pages. |
English language abstract for WO2004005873A1 extracted from espacenet.com database on Aug. 1, 2019, 2 pages. |
English language abstract for WO2005029106A1 extracted from espacenet.com database on Jan. 7, 2019, 2 pages. |
English language abstract for WO2005054803A1 extracted from espacenet.com database on Aug. 1, 2019, 2 pages. |
English language abstract for WO2008017348A2 extracted from espacenet.com database on Jan. 7, 2019, 2 pages. |
English language abstract for WO2013053534A1 extracted from espacenet.com database on Jan. 7, 2019, 1 page. |
International Search Report for Application No. PCT/IB2016/052876 dated Jan. 19, 2017, 4 pages. |
International Search Report for Application No. PCT/IB2017/057858 dated Mar. 29, 2018, 5 pages. |
Melexis, “MLX90316—Rotary Position Sensor IC Data Sheet”, 3901090316, Rev. 10, Jul. 2013, 45 pages. |
Melexis, “MLX90333—Position Sensor Data Sheet”, Revision 008, Sep. 26, 2017, 48 pages. |
Melexis, “MLX90363—Triaxis Magnetometer IC With High Speed Serial Interface Data Sheet”, 3901090363, Rev. 005, Jul. 2013, 57 pages. |
Microelectronic Integrated Systems (MELIXIS), “MLX90316 Rotary Position Sensor IC Manual”, Revision 10, Jul. 2013, pp. 1-45. |
Microelectronic Integrated Systems (MELIXIS), “MLX90363 Triaxis Magnetometer IC With High Speed Serial Interface Data Sheet”, Revision 005, Jul. 2013, pp. 1-57. |
Moving Magnet Technologies SA (MMT), “Magnetic Field Angle Position Sensors and Rotary Sensors”, http://www.movingmagnet.com/en/analog-magnetic-field-angle-measurement/, 2016, 1 page. |
Poincare, Jules Henri, “Exploring Magnetism—Session 1: Magnetism”, http://cse.ssl.berkeley.edu/SegwayEd/lessons/exploring_magnetism/Exploring_Magnetism/s1.html, 2016, 6 pages. |
Regents of the University of California Berkeley, “Exploring Magnetism—Session 1”, http://cse.ssl.berkeley.edu/SegwayEd/lessons/exploring_magnetism/Exploring_Magnetism/s1.html, 2005, 6 pages. |
U.S. Appl. No. 16/468,584, filed Jun. 11, 2019. |
U.S. Appl. No. 62/433,073, filed Dec. 1, 2016. |
Banks, Kevin, “The Goertzel Algorithm”, Aug. 28, 2002, https://www.embedded.com/design/configurable-systems/4024443/The-Goertzel-Algorithm#, 5 pages. |
Computer-Assisted English language abstract for EP2806283A2 extracted from espacenet.com database on Jan. 7, 2019, 4 pages. |
Computer-generated English language translation for JPH0540849U extracted from espacenet.com database on Aug. 1, 2019, 7 pages. |
Computer-generated English language translation for JPH0543040U extracted from espacenet.com database on Aug. 1, 2019, 6 pages. |
Computer-generated English language translation for JPH0545537U extracted from espacenet.com database on Aug. 1, 2019, 9 pages. |
Computer-generated English language translation for JPH0545538U extracted from espacenet.com database on Aug. 1, 2019, 8 pages. |
Computer-generated English language translation for JPH0614939U extracted from espacenet.com database on Aug. 1, 2019, 10 pages. |
Computer-generated English language translation for JPH0628673U extracted from espacenet.com database on Aug. 1, 2019, 6 pages. |
Computer-generated English language translation for JPH0647832U extracted from espacenet.com database on Aug. 1, 2019, 9 pages. |
Computer-generated English language translation for JPH072943U extracted from espacenet.com database on Aug. 1, 2019, 8 pages. |
Computer-generated English language translation for JPH0743521U extracted from espacenet.com database on Aug. 1, 2019, 8 pages. |
Computer-generated English language translation for KR20050075880A extracted from espacenet.com database on Aug. 1, 2019, 4 pages. |
Computer-generated English language translation for KR20050093025A extracted from espacenet.com database on Aug. 1, 2019, 4 pages. |
Computer-generated English language translation for KR20060054775A extracted from espacenet.com database on Aug. 1, 2019, 4 pages. |
English language abstract for CN2903949Y extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for DE3206503C1 extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for EP 1243905A1 extracted from espacenet.corn database on Jul. 17, 2019, 1 page. |
English language abstract for EP0947846A2 extracted from espacenet.com database on Jan. 7, 2019, 1 page. |
English language abstract for EP1243905A1 extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for EP1319934a2 extracted from espacenet.com database on Aug. 1, 2019, 2 pages. |
English language abstract for JP2001050830A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2002333375A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2002340701A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2003307460A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2004053433A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2004053434A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2004053435A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2004225096A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2004264188A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2005321272A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2006010669A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2006126130A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2007101427A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2007181327A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2008026160A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2009122042A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2013053954A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2013053957A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2015009602A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JP2015010870A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH0116349B2 extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH01187425A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH02280023A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH02280024A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH041542A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH04191630A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH05126654A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH05231966A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH05231967A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
English language abstract for JPH05346360A extracted from espacenet.com database on Aug. 1, 2019, 1 page. |
Supplementary European Search Report for Application EP 17 88 0586 dated.Jun. 23, 2020, 2 pages. |
Machine-assisted English language abstract for DE 10 2015 202 240 B3 extracted from espacenet.com database on Jul. 29, 2020, 2 pages. |
Number | Date | Country | |
---|---|---|---|
20200225103 A1 | Jul 2020 | US |