The present disclosure generally relates to battery powered devices and more specifically to a state of charge for battery powered surface treatment apparatuses (e.g., vacuum cleaners).
Surface treatment apparatuses can be configured to clean one or more surfaces (e.g., a floor). Surface treatment apparatuses may include, for example, a vacuum cleaner, a mop, a powered broom, and/or any other surface treatment apparatus. Surface treatment apparatuses may include one or more powered components (e.g., one or more suction motor(s), light(s), agitator motor(s), and/or any other electrical component). The one or more powered components may be powered by, for example, electrical mains and/or one or more batteries. When one or more batteries are used as a power source for the one or more powered components, the surface treatment apparatus may be configured to display a state of charge of the one or more batteries. The state of charge may be indicative of a remaining time left in which the one or more batteries are capable of providing sufficient electrical energy to power one or more powered components. Accuracy of the state of charge determination may be detrimentally influenced by large current draws generated by one or more powered components (e.g., generated by one or more motors).
These and other features and advantages will be better understood by reading the following detailed description, taken together with the drawings wherein:
The present disclosure is generally directed to a surface treatment apparatus (e.g., a vacuum cleaner). One example of the surface treatment apparatus may include a power source having one or more batteries and a controller. The controller is configured to estimate a state charge of the one or more batteries.
The cleaning assembly 106 includes a dust cup 116 and a suction motor 118. The suction motor 118 is configured to cause air to flow into the surface cleaning head 102 and into the dust cup 116. In other words, the suction motor 118 is fluidly coupled to the dust cup 116 and the surface cleaning head 102. At least a portion of any debris disturbed by the rotation of the agitator 110 may become entrained within air flowing through the surface cleaning head 102. At least a portion of the entrained debris may be deposited into the dust cup 116. As such, the suction motor 118 may generally be described as being fluidly coupled to the dust cup 116 and the surface cleaning head 102.
The power source 108 is electrically coupled to one or more of the suction motor 118 and/or the agitator motor 112. In some instances, the power source 108 may be removably coupled to the upright section 104. The power source 108 may include one or more batteries 120 and a battery controller 122. The battery controller 122 may be configured to monitor one or more battery states (e.g., voltage, current draw, battery temperature, and/or any other battery state). The one or more batteries 120 may include rechargeable lithium ion batteries.
As shown, the surface treatment apparatus 100 may further include an apparatus controller 124, a user interface 126, and one or more motor sensors 128. The user interface 126 may be configured to display information relating to the surface treatment apparatus 100 (e.g., using one or more of light emitting diodes, liquid crystal displays, and/or any other form of displaying information) and/or to receive one or more user inputs (e.g., using one or more toggles or buttons). The one or more motor sensors 128 are each configured to monitor one or more motor states (e.g., current draw, voltage, motor temperature, and/or any other motor state) of a corresponding one or more of the suction motor 118 or the agitator motor 112. For example, the one or more motor sensors 128 may include a current sensor that is configured to measure a current draw of the agitator motor 112.
The apparatus controller 124 may be communicatively coupled (e.g., through a wireless or wired connection) to the battery controller 122, the user interface 126, and/or the one or more motor sensors 128. For example, the battery controller 122 may be configured to communicate one or more battery states (e.g., a state of charge of the one or more batteries 120 of the power source 108) to the apparatus controller 124 and each of the one or more motor sensors 128 may be configured to communicate a respective motor state to the apparatus controller 124. In this example, the apparatus controller 124 may be configured to cause the user interface 126 to display information that is based, at least in part, on the one or more battery states (e.g., display a visual representation corresponding to a state of charge of the one or more batteries 120 of the power supply 108) and/or the one or more motor states.
As shown, the apparatus controller 124 and the battery controller 122 may be communicatively coupled using apparatus communication circuitry 130 and power source communication circuitry 132. The apparatus communication circuitry 130 may be configured to wirelessly communicate with the power source communication circuitry 132. The apparatus communication circuitry 130 may include at least one of an apparatus transmitter 134 and/or an apparatus receiver 136 and the power source communication circuitry 132 may include at least one of a power source transmitter 138 and/or a power source receiver 140. As such, the apparatus communication circuitry 130 and the power source communication circuitry 132 may be configured for unidirectional or bidirectional communication. The transmitters 134 and 138 and the receivers 136 and 140 may be optical (e.g., infrared) transmitters and receivers. As such, the wireless connection may generally be described as being established using at least one infrared receiver and at least one infrared transmitter. Use of optical transmitters 134 and 138 and optical receivers 136 and 140 as opposed to, for example, electrical communication may prevent and/or other mitigate the effects of electrical interference on the communications, may provide galvanic isolation for communications, and may improve communication reliability (e.g., when the power source 108 is removably coupled to the upright section 104).
Alternatively, the battery controller 122 may not be communicatively coupled to the apparatus controller 124. In these instances, the apparatus controller 124 can be configured to estimate a state of charge of the one or more batteries of the power supply 108. For example, a state of charge of the batteries 120 may be estimated based, at least in part, on one or more of a current draw of the agitator motor 112, a measured voltage at the apparatus controller 124, and/or a calculated voltage drop resulting from electrical wiring/components that electrically couple the apparatus controller 124 with the agitator motor 112. The estimated state of charge may also reflect a power draw of other components (e.g., the suction motor 118). In some instances, the estimated state of charge may be based, at least in part, on an operational mode of the surface treatment apparatus 100.
The method 300 may include a step 302. The step 302 includes identifying an estimated resistance between the apparatus controller 124 and the agitator motor 112 and the power source 108. The estimated resistance may be a fixed value that is stored in the apparatus controller 124 (e.g., during manufacture). Identifying the estimated resistance may include, for example, referencing the stored value (e.g., in a look-up table) and/or associating the estimated resistance with a constant (e.g., in an equation). The estimated resistance is based, at least in part, on the properties of conductors (e.g., material, length, gauge, and/or any other property) electrically coupling the apparatus controller 124 to the agitator motor 112 and the power source 108. The estimated resistance may not account for secondary effects on resistance (e.g., as a result of changes in temperature).
The method 300 may include a step 304. The step 304 includes determining a current draw of the agitator motor 112. For example, the one or more motor sensors 128 may be configured to measure a current draw of the agitator motor 112. An estimated voltage drop may be determined based, at least in part, on the measured current draw of the agitator motor 112. For example, an estimated voltage drop over the conductors electrically coupling the apparatus controller 124 to the agitator motor 112 and the power source 108 may be determined based, at least in part, on the measured current draw of the agitator motor 112 and the estimated resistance.
The method 300 may include a step 306. The step 306 may include measuring a voltage at the apparatus controller 124 using the apparatus controller 124. When the voltage is measured at the apparatus controller 124, the measured voltage incorporates the voltage drop caused by the resistance of the conductors electrically coupling the apparatus controller 124 to the agitator motor 112 and the power source 108. As such, the estimated voltage drop over the conductors may be added to the measured voltage such that an estimated power source voltage (e.g., battery voltage) can be determined. The estimated battery voltage may generally be described as corresponding an estimation of the voltage of the battery.
The method 300 may include a step 308. The step 308 includes estimating a state of charge for the one or more batteries 120. The state of charge may be estimated by comparing the estimated battery voltage to a discharge curve or table. For example, the estimated battery voltage may be compared to a table to determine an estimated state of charge. The discharge curve or table may incorporate the effects of other power consuming components on the rate of discharge. For example, a discharge table may account for the discharge caused by operation of the suction motor 118. For a vacuum cleaner having multiple operational modes (e.g., different suction motor speeds, agitator speeds, and/or any other mode) there may be a plurality of discharge curves or tables, wherein each curve or table corresponds to a respective mode. Use of multiple curves or tables may allow for different power consumption rates to be accounted for. As such, the curve or table referenced may be selected based, at least in part, on the current mode of the vacuum cleaner. Alternatively, the vacuum cleaner may use a single discharge curve or table that approximates the power consumption rates of each mode (e.g., an average of the discharge rates of each mode).
The method 300 may include a step 310. The step 310 may include causing a visual representation corresponding to the estimated state of charge to be displayed to a user (e.g., on the user interface 126).
The method 400 may include a step 402. The step 402 may include determining an operational mode (e.g., a hard floor mode, a carpet mode, an energy saver mode, a boost mode, or any other mode) of the surface cleaning apparatus 100. Each operational mode may cause, for example, one or more of the agitator motor 112 and/or the suction motor 118 to operate according to different rotational speeds (e.g., resulting in different current draws). For example, the user interface 126 may be configured to receive one or more inputs from a user regarding a desired operational mode and the apparatus controller 124 may be configured to cause the surface treatment apparatus 100 to operate (e.g., one or more of the motors 112 and 118) according to the operational mode.
The method 400 may include a step 404. The step 404 may include identifying a discharge curve or table associated with the operational mode.
The method may include a step 406. The step 406 may include estimating a state of charge for the one or more batteries 120 based, at least in part, on the identified discharge curve.
An example of a surface treatment apparatus, consistent with the present disclosure, may include a power source having one or more batteries and a battery controller and an apparatus controller communicatively coupled to the battery controller through a wireless connection.
In some instances, the wireless connection may be established using at least one infrared receiver and at least one infrared transmitter. In some instances, the wireless connection may be bidirectional. In some instances, the battery controller may be configured to communicate a state of charge of the one or more batteries to the apparatus controller. In some instances, the surface treatment apparatus may further include a user interface, the user interface being configured to display a visual representation corresponding to the state of charge.
Another example of a surface treatment apparatus, consistent with the present disclosure, may include a power source having one or more batteries and an apparatus controller configured to estimate a state of charge of the one or more batteries based, at least in part, on an operational mode of the surface treatment apparatus.
In some instances, determining the state of charge may include determining a discharge curve or a discharge table associated with the operational mode. In some instances, the surface treatment apparatus may further include a user interface, the user interface being configured to display a visual representation corresponding to the state of charge. In some instances, the surface treatment apparatus may further include a current sensor configured to measure a current draw of an agitator motor of the surface treatment apparatus. In some instances, an estimated voltage drop may be determined based, at least in part, on the current draw of the agitator motor. In some instances, the apparatus controller may be configured to measure a voltage at the apparatus controller. In some instances, the estimated voltage drop may be added to the voltage measured at the apparatus controller to obtain an estimated power source voltage. In some instances, the estimated power source voltage may be compared to a discharge curve or a discharge table associated with the operational mode.
Another example of a surface treatment apparatus, consistent with the present disclosure, may include a surface cleaning head having an agitator and an agitator motor configured to cause the agitator to rotate, a cleaning assembly including a suction motor and a dust cup, the suction motor fluidly coupled to the dust cup and the surface cleaning head, a power source electrically coupled to the suction motor and the agitator motor, the power source having one or more batteries, and an apparatus controller configured to estimate a state of charge of the one or more batteries based, at least in part, on a current draw of the agitator motor.
In some instances, the surface treatment apparatus may further include a user interface, the user interface being configured to display a visual representation corresponding to the state of charge. In some instances, an estimated voltage drop may be determined based, at least in part, on the current draw of the agitator motor. In some instances, the apparatus controller may be configured to measure a voltage at the apparatus controller. In some instances, the estimated voltage drop may be added to the voltage measured at the apparatus controller to obtain an estimated power source voltage. In some instances, the estimated power source voltage may be compared to a discharge curve or a discharge table. In some instances, the surface treatment apparatus may further include a current sensor configured to measure the current draw corresponding to the agitator motor.
While the principles of the invention have been described herein, it is to be understood by those skilled in the art that this description is made only by way of example and not as a limitation as to the scope of the invention. Other embodiments are contemplated within the scope of the present invention in addition to the exemplary embodiments shown and described herein. Modifications and substitutions by one of ordinary skill in the art are considered to be within the scope of the present invention, which is not to be limited except by the following claims.
The present application claims the benefit of U.S. Provisional Application Ser. No. 63/178,924, filed on Apr. 23, 2021, entitled Determining State of Charge for Battery Powered Devices including Battery Powered Surface Treatment Apparatuses, which is fully incorporated herein by reference.
| Number | Name | Date | Kind |
|---|---|---|---|
| 4745654 | Yamamoto et al. | May 1988 | A |
| 5014388 | Schiazza et al. | May 1991 | A |
| 5589288 | Coulson et al. | Dec 1996 | A |
| 5771448 | Cooper | Jun 1998 | A |
| 5829090 | Melito et al. | Nov 1998 | A |
| 6360399 | Vandenbelt et al. | Mar 2002 | B1 |
| 6456035 | Crisp et al. | Sep 2002 | B1 |
| 6457205 | Conrad | Oct 2002 | B1 |
| 7091697 | Mader et al. | Aug 2006 | B2 |
| 7137169 | Murphy et al. | Nov 2006 | B2 |
| 7356873 | Nielsen | Apr 2008 | B2 |
| 7665180 | Haan | Feb 2010 | B2 |
| 9504364 | Reed et al. | Nov 2016 | B2 |
| 10568481 | Reed et al. | Feb 2020 | B2 |
| 10870360 | Campbell | Dec 2020 | B2 |
| 11458771 | Thorne | Oct 2022 | B2 |
| 11484169 | Howard | Nov 2022 | B2 |
| 11497366 | Xu | Nov 2022 | B2 |
| 11998150 | Innes | Jun 2024 | B2 |
| 20030201754 | Conrad | Oct 2003 | A1 |
| 20040134026 | Brinkhoff et al. | Jul 2004 | A1 |
| 20050007068 | Johnson et al. | Jan 2005 | A1 |
| 20050015918 | Rukavina et al. | Jan 2005 | A1 |
| 20050055795 | Zeiler | Mar 2005 | A1 |
| 20050155177 | Baer et al. | Jul 2005 | A1 |
| 20060137133 | Yik et al. | Jun 2006 | A1 |
| 20060164032 | Johnson et al. | Jul 2006 | A1 |
| 20070226946 | Best | Oct 2007 | A1 |
| 20080040883 | Beskow et al. | Feb 2008 | A1 |
| 20080047092 | Schnittman et al. | Feb 2008 | A1 |
| 20080134460 | Conrad | Jun 2008 | A1 |
| 20080148512 | Beskow et al. | Jun 2008 | A1 |
| 20120260944 | Martins, Jr. | Oct 2012 | A1 |
| 20130058635 | Vrdoljak | Mar 2013 | A1 |
| 20130152337 | Thorne | Jun 2013 | A1 |
| 20140150201 | McGee | Jun 2014 | A1 |
| 20140366286 | Zheng | Dec 2014 | A1 |
| 20150013102 | Bilger | Jan 2015 | A1 |
| 20150040340 | Bilger et al. | Feb 2015 | A1 |
| 20150135474 | Gidwell | May 2015 | A1 |
| 20150297054 | Weeks et al. | Oct 2015 | A1 |
| 20150351596 | Thorne | Dec 2015 | A1 |
| 20160128530 | Thorne et al. | May 2016 | A1 |
| 20160174793 | Burke et al. | Jun 2016 | A1 |
| 20160220080 | Thorne | Aug 2016 | A1 |
| 20160220081 | Xu et al. | Aug 2016 | A1 |
| 20160220082 | Thorne et al. | Aug 2016 | A1 |
| 20160324388 | Vrdoljak et al. | Nov 2016 | A1 |
| 20160374533 | Innes et al. | Dec 2016 | A1 |
| 20170042319 | Conrad et al. | Feb 2017 | A1 |
| 20170112343 | Innes et al. | Apr 2017 | A1 |
| 20170127896 | Carter et al. | May 2017 | A1 |
| 20170135541 | Kwak | May 2017 | A1 |
| 20170144562 | Thomas | May 2017 | A1 |
| 20170144810 | Birdsell | May 2017 | A1 |
| 20170215667 | Thorne et al. | Aug 2017 | A1 |
| 20170245711 | Son et al. | Aug 2017 | A1 |
| 20170347848 | Carter et al. | Dec 2017 | A1 |
| 20180035854 | Thorne | Feb 2018 | A1 |
| 20180064301 | Cottrell et al. | Mar 2018 | A1 |
| 20180068815 | Cottrell | Mar 2018 | A1 |
| 20180070785 | Udy et al. | Mar 2018 | A1 |
| 20180210452 | Shin et al. | Jul 2018 | A1 |
| 20180255991 | Der Marderosian et al. | Sep 2018 | A1 |
| 20180296046 | Thorne et al. | Oct 2018 | A1 |
| 20180306432 | Ognjen et al. | Oct 2018 | A1 |
| 20180325252 | Hopke et al. | Nov 2018 | A1 |
| 20180338654 | Kelsey | Nov 2018 | A1 |
| 20180338656 | Carter et al. | Nov 2018 | A1 |
| 20190038098 | Thorne et al. | Feb 2019 | A1 |
| 20190059668 | Thorne et al. | Feb 2019 | A1 |
| 20190069740 | Thorne et al. | Mar 2019 | A1 |
| 20190069744 | Liggett et al. | Mar 2019 | A1 |
| 20190090701 | Tonderys et al. | Mar 2019 | A1 |
| 20190090705 | Thorne et al. | Mar 2019 | A1 |
| 20190191947 | Freese et al. | Jun 2019 | A1 |
| 20190193120 | Brown et al. | Jun 2019 | A1 |
| 20190246853 | Sardar et al. | Aug 2019 | A1 |
| 20190274500 | Thorne et al. | Sep 2019 | A1 |
| 20190274501 | Antonisami et al. | Sep 2019 | A1 |
| 20190302793 | Leech et al. | Oct 2019 | A1 |
| 20190320865 | Brown et al. | Oct 2019 | A1 |
| 20190320866 | Thorne et al. | Oct 2019 | A1 |
| 20190335968 | Harting et al. | Nov 2019 | A1 |
| 20190343349 | Clare et al. | Nov 2019 | A1 |
| 20190357740 | Thorne et al. | Nov 2019 | A1 |
| 20200000298 | Brown et al. | Jan 2020 | A1 |
| 20200022543 | Gill et al. | Jan 2020 | A1 |
| 20200022544 | Gill et al. | Jan 2020 | A1 |
| 20200022553 | Gill et al. | Jan 2020 | A1 |
| 20200037833 | Niedzwecki et al. | Feb 2020 | A1 |
| 20200037843 | Fiebig et al. | Feb 2020 | A1 |
| 20200046184 | Freese et al. | Feb 2020 | A1 |
| 20200077855 | Brown et al. | Mar 2020 | A1 |
| 20200085267 | Thorne et al. | Mar 2020 | A1 |
| 20200085269 | Thorne | Mar 2020 | A1 |
| 20200093342 | Jeong | Mar 2020 | A1 |
| 20200121144 | Gacin et al. | Apr 2020 | A1 |
| 20200121147 | Izawa et al. | Apr 2020 | A1 |
| 20200121148 | Hoffman et al. | Apr 2020 | A1 |
| 20200138260 | Sutter et al. | May 2020 | A1 |
| 20200166949 | Leech et al. | May 2020 | A1 |
| 20200170470 | Liggett et al. | Jun 2020 | A1 |
| 20200201348 | Leech | Jun 2020 | A1 |
| 20200205631 | Brown et al. | Jul 2020 | A1 |
| 20200205634 | Sutter et al. | Jul 2020 | A1 |
| 20200237171 | Xu et al. | Jul 2020 | A1 |
| 20200241914 | Barker et al. | Jul 2020 | A1 |
| 20200251914 | Arnold | Aug 2020 | A1 |
| 20200254154 | Reasoner | Aug 2020 | A1 |
| 20200288929 | Brunner | Sep 2020 | A1 |
| 20200288930 | Wells | Sep 2020 | A1 |
| 20200297172 | Tonderys et al. | Sep 2020 | A1 |
| 20200301430 | Irkliy et al. | Sep 2020 | A1 |
| 20200315418 | Howard et al. | Oct 2020 | A1 |
| 20200345190 | Buehler | Nov 2020 | A1 |
| 20200345196 | Innes et al. | Nov 2020 | A1 |
| 20200367711 | Thorne et al. | Nov 2020 | A1 |
| 20200371526 | Kamada | Nov 2020 | A1 |
| 20200383547 | Sutter et al. | Dec 2020 | A1 |
| 20210007569 | Howard et al. | Jan 2021 | A1 |
| 20210022574 | Harting | Jan 2021 | A1 |
| 20210030227 | Mathieu et al. | Feb 2021 | A1 |
| 20210038032 | Brown | Feb 2021 | A1 |
| 20210059492 | Taylor | Mar 2021 | A1 |
| 20210059495 | Gill et al. | Mar 2021 | A1 |
| 20210085144 | Woodrow et al. | Mar 2021 | A1 |
| 20210169289 | Thorne et al. | Jun 2021 | A1 |
| 20210175772 | Aini | Jun 2021 | A1 |
| 20210177223 | Der Marderosian et al. | Jun 2021 | A1 |
| 20210186282 | Mathieu et al. | Jun 2021 | A1 |
| 20210204684 | Heman-Ackah et al. | Jul 2021 | A1 |
| 20210254615 | Burbank | Aug 2021 | A1 |
| 20210307581 | Thorne et al. | Oct 2021 | A1 |
| 20210315428 | Udy et al. | Oct 2021 | A1 |
| 20210386261 | Woodrow et al. | Dec 2021 | A1 |
| 20210386262 | Uchendu et al. | Dec 2021 | A1 |
| 20220031131 | McClay et al. | Feb 2022 | A1 |
| 20220031133 | Der Marderosian et al. | Feb 2022 | A1 |
| 20220031134 | Yang et al. | Feb 2022 | A1 |
| 20220061614 | Yu et al. | Mar 2022 | A1 |
| 20220071459 | Gacin et al. | Mar 2022 | A1 |
| 20220095864 | Der Marderosian et al. | Mar 2022 | A1 |
| 20220125256 | Lessard et al. | Apr 2022 | A1 |
| 20220187380 | Bryan | Jun 2022 | A1 |
| 20220287521 | Cottrell et al. | Sep 2022 | A1 |
| 20220322903 | Lessard | Oct 2022 | A1 |
| 20220400922 | McClay et al. | Dec 2022 | A1 |
| 20220408994 | Hill | Dec 2022 | A1 |
| 20230043567 | Copeland et al. | Feb 2023 | A1 |
| 20230070147 | Harting et al. | Mar 2023 | A1 |
| 20230157495 | Copeland et al. | May 2023 | A1 |
| 20230248192 | Brown et al. | Aug 2023 | A1 |
| 20230320550 | Teuscher et al. | Oct 2023 | A1 |
| 20230329502 | Chirikjian | Oct 2023 | A1 |
| 20230355065 | Finnegan | Nov 2023 | A1 |
| 20230414052 | McClay et al. | Dec 2023 | A1 |
| 20240008699 | Innes et al. | Jan 2024 | A1 |
| 20240415352 | McClay et al. | Dec 2024 | A1 |
| Number | Date | Country |
|---|---|---|
| 0401531 | Dec 1990 | EP |
| 1075906 | Feb 2001 | EP |
| 1498999 | Jan 2005 | EP |
| 2405787 | Mar 2005 | GB |
| 2420031 | May 2006 | GB |
| 2001321306 | Nov 2001 | JP |
| 2005052339 | Mar 2005 | JP |
| 2006095210 | Apr 2006 | JP |
| 2008206613 | Sep 2008 | JP |
| 2004032696 | Apr 2004 | WO |
| WO-2004032696 | Apr 2004 | WO |
| 2006084561 | Aug 2006 | WO |
| Entry |
|---|
| PCT Search Report and Written Opinion mailed Aug. 1, 2022, received in corresponding PCT Application No. PCT/US22/25863, 11 pages. |
| Dahmus et al. “Modular Product Structure” ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference Sep. 10-13, 2000, 11 pages. |
| “VersaPak System” Wayback Machine; www.Archive.org., Oct. 30, 1996, (http://blackanddecker.com:80/versapak/index.shtml;) 2 pages. |
| “Black and Decker Timeline,” http://www.blackanddecker100years.com/timeline/ (1994), 1 page. |
| Number | Date | Country | |
|---|---|---|---|
| 20220342001 A1 | Oct 2022 | US |
| Number | Date | Country | |
|---|---|---|---|
| 63178924 | Apr 2021 | US |