The technology discussed below generally relates to rechargeable batteries and specifically relates to a charging system and method for charging a battery based on a dynamically adjusted battery threshold voltage for controlling charging modes.
In general, the present disclosure provides a method and a system for charging a battery using a battery voltage threshold that is dynamically determined or updated based on the changing maximum state-of-charge (SoC) and/or state-of-health (SoH) of the battery.
One aspect of the present disclosure provides a battery charging system for charging a battery. The battery charging system includes a charging circuit configured to charge the battery and a controller communicatively coupled with the charging circuit. The controller is configured to determine a current condition of the battery and dynamically determine a threshold voltage for controlling a charging mode of the charging circuit, based on the current condition. The controller is further configured to determine a battery voltage of the battery during charging, configure the charging circuit to charge the battery using a constant current (CC) mode when the battery voltage is less than the threshold voltage, and configure the charging circuit to charge the battery using a constant voltage (CV) mode when the battery voltage is equal to or greater than the threshold voltage.
Another aspect of the present disclosure provides a battery charging method. The method determines a current condition of a battery and dynamically determines a threshold voltage for controlling a charging mode of the battery based on the current condition. The method further determines a battery voltage of the battery during charging, charges the battery using a constant current (CC) mode when the battery voltage is less than the threshold voltage, and charges the battery using a constant voltage (CV) mode when the battery voltage is equal to or greater than the threshold voltage.
The detailed description set forth below in connection with the appended drawings is intended as a description of various configurations and is not intended to represent the only configurations in which the concepts described herein may be practiced. The detailed description includes specific details for the purpose of providing a thorough understanding of various concepts. However, it will be apparent to those skilled in the art that these concepts may be practiced without these specific details. In some instances, well-known structures and components are shown in block diagram form in order to avoid obscuring such concepts. While aspects and embodiments are described in this application by illustration to some examples, those skilled in the art will understand that additional implementations and use cases may come about in many different arrangements and scenarios.
Aspects of the present disclosure provide a method and a system for charging a battery using a battery voltage threshold that is dynamically determined or updated based on the changing maximum state-of-charge (SoC) and/or state-of-health (SoH) of the battery. In some aspects of the disclosure, SoC and SoH may be defined by equations (1) and (2) below.
An exemplary battery charging process selects a constant-current (CC) mode or constant-voltage (CV) mode during different stages of the battery charging process based on a battery voltage threshold that is dynamically determined in relation to changing maximum SoC or SoH of the battery. In some aspects of the disclosure, the charging process may be used in wired charging systems and wireless charging systems. Some aspects of the disclosure provide a wireless charging system that is configured to control a charging process based solely on the primary voltage and current of a transmitter circuit of the charging system. In some aspects of the disclosure, a wireless battery charging system may be implemented without a wireless communication system for feedback control purposes, and without an extra battery management circuit at the receiver side between the battery load and rectifier output.
In some examples, the threshold voltage (Vbatref) may be fixed to a constant value. However, using a constant or fixed threshold voltage for controlling the charging mode (CC or CV) generally does not result in optimal charging of the battery for the purpose of prolonging the battery life. It is because the relationship between the battery voltage and the SoC and SoH of the battery will change with time. In practice, the actual relationship between Vbatref and SoC of a battery changes with time, usage, and aging of the battery.
Aspects of the present disclosure relate to an improved charging method and system that utilizes a dynamically updated battery voltage threshold (Vbatref) in relation to the up-to-date maximum SoC capacity (SoCmax) and SoH of the battery for selecting the CC mode and CV mode during different stages of charging. Both SoCmax and SoH may vary during the operating lifetime and usage of the battery. Unlike known practice of treating the voltage threshold as a constant or fixed value, such Vbatref value can vary with the changes of the SoCmax and SoH over the operating time of the battery and during charging. In some aspects of the disclosure, a procedure for dynamically setting the Vbatref value based on the changing SoCmax and SoH is disclosed. This procedure for updating Vbatref can be applied to both wired (e.g., plug-in) chargers and wireless chargers.
As illustrated in
During the initial charging stage (e.g., pre-charge phase), when the battery voltage (Vbat) is lower than the voltage threshold (Vbatref), the CC mode is used to limit the charging current to a safe level (e.g., Iprechg). The total amount of charge transferred to the battery during the CC mode is equal to the current-time area under the CC current and is denoted as Qcc in
In one example, the current SoC at time t1 can be expressed as equation (3).
In equation (3), SoC(t0) is the initial SoC at time t0, η is the charging efficiency, and Ibat(t) is the charging current.
A k factor may be used to relate SoCref(t) to SoCmax based equation (4).
SoCref(t)=k·SoCmax(t) (4)
In equation (4), SoCref(t) is the SoC corresponding to the battery voltage threshold at which CV mode and CC mode change should occur, and SoCmax(t) corresponds to the maximum SoC capacity of the battery that may decrease with the operating lifetime and usage of the battery.
Based on the charges Qcc and Qcv shown in
Equation (5) can also be expressed in terms of k and the charge variables as equation (6).
Q(t0)+η(QCC)=k[Q(t0)+η(QCC+QCV)] (6)
From equations (4) and (6), for 0<k<1 (e.g., in the range of 0.8 to 0.95 depending on the nature or type of the battery), the k factor may be expressed as equation (7a) or (7b).
In some aspects of the disclosure, the charger may regularly or frequently determine or update SoCmax during the lifetime of the battery. The charge variables Q(t0), Qcc, and Qcv may be calculated by various methods known in the art. As the battery ages, the SoCmax decreases as illustrated in, for example,
In some aspects of the disclosure, the k factor can be selected in a range depending on the type of rechargeable battery (e.g., (e.g., 0.8 to 0.95 for lithium ion battery or the like). As SoCmax(t) decreases with the operating lifetime of a particular battery, for a given k factor selected for the battery, the battery voltage (Vbat) corresponding to an SoC=k SoCmax according to equation (7a) may be selected as the battery threshold voltage (Vbatref) at which CC mode and CV mode change should occur during a charging cycle. The Vbat may be the voltage across the battery's positive and negative terminal during charging.
To implement the method of using a frequently updated Vbatref for controlling CC mode and CV mode change, a charging controller (e.g., controller 206 of
In addition, the SoCmax is related to the SoH of the battery. As described above, the maximum SoC capability of a battery at a given time, SoCmax(t), and the corresponding battery voltage threshold (Vbatref(t)) at which CC mode and CV mode change occurs will change when the battery ages. One exemplary way to define current SoH (SoH(t)) is expressed as equation (8).
In one aspect of the present disclosure, a charging procedure treats the battery threshold voltage Vbatref(t) as a variable that is related or mapped to the current maximum SoC (SoCmax(t)). Equations (9a) and (9b) are examples that illustrate the relationship between Vbatref(t) and SoC(t)/SoH(t).
Vbatref(t)→k·SoCmax(t) (9a)
Vbatref(t)→k·SoH(t) (9b)
In some aspects of the disclosure, the above-described charging procedure can be applied to wired or wireless charging systems such that a more accurate and optimal battery voltage threshold can be used to switch from CC mode to CV mode or vice versa.
At block 304, the charging system dynamically determines a threshold voltage (e.g., Vbatref) for selecting a charging mode (e.g., CC mode and CV mode) based on the current condition (e.g., SoH(t)) of the battery. Dynamically determining the threshold voltage means that the threshold voltage is not fixed and can be changed based on other factors such as the current SoH or SoCmax. For example, the threshold voltage may be determined using equation 9(a) or 9(b) described above in real time or frequently. At block 306, the charging system determines a battery voltage of the battery during charging. The battery voltage may be a voltage measured across the battery terminals or estimated based on certain front-end charger parameters (e.g., primary charging current and voltage or a wireless charger). At block 308, the charging system charges the battery using a CC mode or a CV mode that is selected based on a comparison between the battery voltage and the threshold voltage. For example, when the battery voltage is less than the threshold voltage, the CC mode is selected; but when the battery voltage is equal to or greater than the threshold voltage, the CV mode is selected. Because the threshold voltage is dynamically updated in consideration of changing SoH/SoCmax due to battery usage and aging, the charging system can switch between CC mode and CV mode at the optimal battery voltage to prolong battery life.
The wireless charging system 400 automatically selects a constant-current (CC) mode and constant-voltage (CV) mode for charging a battery load using a fixed inverter switching frequency. The wireless charging system 400 is configured to use front-end (transmitter-side) monitoring and control methods to estimate system parameters and/or battery load conditions, thus eliminating the need for a wireless communication system for feedback control purposes. The wireless charging system 400 is configured to monitor SoC and/or SoH changes of the battery in real time or frequently based on transmitter-side monitoring (i.e., using only information available in the transmitter side). The wireless charging system 400 uses the frequently (e.g., periodically) updated SoC/SoH information and its corresponding battery voltage (including aging effects) in transmitter-side control to determine the threshold voltage (Vbatref) for selecting CC mode and CV mode during charging, as well as for limiting the maximum SoC in order to prolong battery lifetime. Unlike other charging methods, the wireless charging system 400 updates the relationship between Vbatref and SoC/SoH in real time or frequently. To that end, Vbatref is not a constant, fixed, or predetermined value, but changes with the aging effects and usage of the battery.
Referring to
In one example, the power inverter 410 comprises a full inverter bridge (see
In this example, the DC voltage input (Vdc) of the inverter is assumed to be constant. When the phase-shift angle α is zero (α=0), the inverter's output voltage is a rectangular waveform with the maximum magnitude (see
The battery voltage and current estimator 414 (C-V estimator) determines or estimates the battery's voltage (Vbat) and current (Ibat) using a front-end monitoring method based solely on the information of the primary voltage (vp) and primary current (ip) measured by the sensors (e.g., sensor block 412), without relying on any feedback from the receiver side.
In equation (15),
Then, the n-order harmonics components isn and vsn can be estimated based on ipn and vpn in equations (16.1) and (16.2).
The amplitudes of isn and vsn can be further derived as equations (17.1) and (17.2).
In equations (17.1) and (17.2), the operator |·| indicates the amplitude of the signal. Besides, the current and voltage of the battery load, Ibat and Vbat, can be estimated based on isn and vsn using Fourier-series-expansion as shown in equations (18.1) and (18.2).
In one aspect of the disclosure, the battery load current Ibat and voltage Vbat can be estimated based on the front-end measurements ipn and vpn as expressed below in equations (19.1) and (19.2).
In case of the fundamental harmonics components of the resonators are dominant (n=1), the first-order approximation equations can be expressed as equations (20.1) and (20.2).
Furthermore, at the resonant frequency (ω=ωo), the equivalent input impedance Zin is purely resistive, such that vp1 and ip1 are in phase. Therefore, Ibat and Vbat can be estimated at the resonant frequency (ω=ωo) by simplified equations (21.1) and (21.2).
In most cases, the battery voltage Vbat is much greater than VD (Vo>>2VD) and the equivalent series resistors (ESRs) of the resonators are small (ωo2M2>>Rp1Rs1). VD is the diode voltage drop of the diode-bridge rectifier (e.g., rectifier 406). The estimation equation for the output voltage at the resonant frequency (ω=ωo) can be further simplified as equation (22).
Besides, for the inverter, based on the Fourier-series-expansion,
In equation (23), α is the phase shift angle. The equivalent input impedance Zin expressed in equation (24).
In equation (24), Req is the equivalent resistance of the battery load and the diode-bridge rectifier,
Substitute equations (18) and (19) into equations (20), the full-order estimation model of battery current and voltage can be expressed by equations (25.1) and (25.2).
Using equations (25.1) and (25.2), Ibat and Vbat can be regulated by controlling the phase shift angle α. In some aspects of the disclosure, CC mode control can be implemented using equation (25.1), and CV mode control can be implemented using equation (25.2).
The ratio of Ibat and Vdc is defined as a transconductance GI.
The ratio of Vo+2VD and Vdc is defined as a voltage transfer ratio GV.
In case of the fundamental harmonics components of the resonators are dominant (N=1), GV and GI can be expressed as equations (27.1) and (27.2).
Furthermore, at the resonant frequency (ω=ωo), GI and GV can be expressed as equations (28.1) and (28.2).
In most cases, the first-order estimation equation (20.1) can accurately estimate Ibat even if high-order harmonics exist. Therefore, CC mode control can use the first-order estimation equation:
However, in some aspects of the disclosure, the full-order estimation equation (19.1) described above may also be used to determine Ibat for CC mode control.
However, for most cases, the voltage transfer ratio increases when harmonics components increase. Therefore, CV mode control uses the full-order estimation equation (19.2).
In some aspects of the disclosure, for acceptable accuracy, N may be equal to or greater than 3 (e.g., N5).
Using the above-derived equations, the charging system 400 can use transmitter-side control for controlling battery current (Ibat) in CC mode and battery voltage (Vbat) in CV mode based on solely electrical variables (vp and ip) measurable in the primary or transmitter side circuit.
Transmitter-Side Battery Condition Estimation
The battery condition estimator 416 (
Using Coulomb Counting Method to Estimate SoC
In one aspect of the disclosure, the charging system 400 may be configured to use a transmitter-side monitoring method for determining the current SoC and SoH in real time or frequently using a Coulomb counting method and a hybrid battery model. The SoC may be determined using a Coulomb counting method according to equation (3), which is repeated below.
In step one of the method, the output voltage and current of the battery load, i.e., Vbat and Ibat can be estimated based on equations (19.2) and (19.1) for every predetermined time interval periodically. Using an exemplary 5 minutes interval, five Vbat values can be obtained in 20 minutes, (Vbat(t0), Vbat(t1), Vbat(t2), Vbat(t3), Vbat(t4). The corresponding SoCs (SoC(t0), SoC(t1), SoC(t2), SoC(t3), SoC(t4)) of the battery load can be estimated at the front-end based on the front-end estimated Vbat and Ibat. In some aspects of the disclosure, the correspondences or mappings between Vbat and SoC may be determined via offline tests or predetermined. In some examples, accurate estimations of SoCs may use an offline tested look-up-table based on the open-circuit battery voltage Vbat measured after a long period of rest time. Thus, in some examples, linear fitting techniques may be used for mapping Vbat and Ibat to their corresponding SoCs to reduce the estimation errors.
In step 2 of the method, based on the estimated SoCs (e.g., SoC(t0), SoC(t1), SoC(t2), SoC(t3), SoC(t4)) and constant output current of the battery load Ibat, the SoCs are adjusted with linear fitting. According to the adjusted SoCs and Ibat, the charging efficiency η and the rated electric quantity Qrated can be determined based on equations (1) and (3).
In step 3 of the method, based on the known SoC(t0), η, and Qrated, real-time monitoring of SoC of the battery load at the front-end can be achieved.
In step 4 of the method, the SoH of the battery can be determined at the end of the charging cycle as SoH=SoC.
Using a Heuristic Algorithm to Estimate SoC and SoH
In another aspect of the disclosure, the charging system 400 may be configured to use a transmitter-side monitoring method for determining SoC and SoH in real time using a heuristic algorithm based on a hybrid battery model. An example of the hybrid model equivalent circuit is shown in
Voc[SoC(t)]=a0e−a
Vbat(t)=Voc[SoC(t)]−Ibat(t)Rseries−Vtransient(t) (30-2)
Vtransient(t)=Vtransient_s(t)+Vtransient_L(t) (30-3)
The parameters of the hybrid battery model, including a0, a1, a2, a3, a4, a5, b0, b1, b2, b3, b4, b5, c0, c1, c2, d0, d1, d2, e0, e1, e2, f0, f1, and f2, are approximately constant when the SoC is high (e.g., between 20% and 100%) and change exponentially when the SoC varies below a certain value (e.g., between 0% and 20%) due to the electrochemical reaction of the battery load. Without using any offline measurements and look-up tables, the parameters of the battery load can be periodically or frequently updated and the SoC of the battery load can be estimated based on the hybrid model equations (1), (3), (30) using known heuristic algorithms, e.g., Genetic Algorithm, Particle Swarm Optimization, Artificial Neural Network, Swarm Intelligence, Tabu Search, Simulated Annealing, Support Vector Machines, and Differential Evolution. Then, the SoH of the battery load can be determined at the end of the charge by SoH=SoC.
In step 1 of the method, several output voltages and currents of the battery load, e.g. Vbat=[Vbat(t0), Vbat(t1), Vbat(t2), . . . , Vbat(tn)], Ibat=[Ibat(t0), Ibat(t1), Ibat(t2), . . . , Ibat(tn)] are measured over a period of time. In step 2 of the method, formulas or equations can be derived based on the hybrid battery model to calculate the ideal output voltages of the battery load Vbatest using the measured Ibat. In step 3 of the method, the SoC of the battery load can be estimated using heuristic algorithms to minimize the norm of the difference between Vbat and Vbatest. In step 4 of the method, the SoH of the battery can be determined at the end of the charge by SoH=SoC.
Transmitter-Side Monitoring and Control Scheme for Updating Voltage Threshold
The threshold voltage generator 418 is configured to update the threshold voltage Vbatref for selecting CC mode and CV mode during a charging cycle. The threshold voltage generator 418 can adjust or update Vbatref in response to the changing SoH/SoC so that the CC mode and CV mode can be selected appropriately in view of the aging effects of the battery due to decreasing full SoC capability (i.e., SoCmax) as the battery ages with time.
As previously described in relation to
SoH(t)=SoCmax(t) (8)
The charging system 400 (e.g., threshold voltage generator 418) continuously or frequently updates the relationship between the SoC and the battery voltage Vbat and consider Vbatref(t) as a variable mapped to the SoCmax(t) in equation (9a).
Vbatref(t)→k·SoCmax(t) (9a)
In equation 9(a), k is a factor that has a value (0<k<1.0) depending on the battery type. In one example, for lithium-ion batteries, k may be set within the range of 0.8 to 0.9. Based on equation (8), Vbatref(t) can also be mapped to SoH(t), and equation (9a) can also be expressed as equation (9b).
Vbatref(t)→k·SoH(t) (9b)
Since Vbatref corresponds to the SoC, from equations (9a) and (9b), the voltage threshold value Vbatref(t) corresponds to the SoC threshold value of SoCref as expressed in equation (4).
SoCref(t)=k·SoCmax(t) (4)
Automatic CC and CV Mode Change
The charging controller (e.g., control strategy block 420) may be configured to control the power inverter, for example, the phase-shift angle of the switching signals controlling the inverter based on the current SoH/SoC and Vbatref. The wireless charging system 400 does not need to change the inverter's operating frequency as a means to change between the CC mode and CV mode.
Referring to
α=αIαv (31)
The logical output of the comparator in
Still referring to
While
The specific transmission parameters (i.e., Apc, Bpc, Cpc, and Dpc) for different types of compensation are provided in Table I below.
Based on equations (31.2) and (31.3), the fundamental components of the output voltage and current of the receiver circuit can be estimated using vpL1 and ipL1,
By substituting (31.1) into (32.1), the fundamental components of the output voltage and current of the receiver can be estimated based on vp1 and ip1 in equation (32.2),
Based on equation (32.2), the amplitudes of {tilde over (v)}s1 and ĩs1 can be estimated by
Where the operator |·| signifies the amplitudes of AC signals.
Besides, the inputs and outputs of the diode-bridge rectifier and the filter capacitor satisfy equations (40.1) and (40.2).
where VD is the forward voltage of the diodes (i.e., diodes D5 to D8 in
By substituting equations (33.1) and (33.2) into equations (40.1) and (40.2), respectively, the output voltage and current can be estimated at the primary side using equations (50.1) and (50.2).
In some aspects of the disclosure, the compensated capacitor Cs can nullify the self-inductance of the receiver coil to increase (e.g., maximize) the power transfer capability of the circuit as expressed in equation (60).
where ωo is the operating angular frequency.
In addition, for the coils with high quality factors, the following terms can be approximated as zero in the following equations.
By substituting equations (60) and (70) into equations (50.1) and (50.2), the output voltage and current of the primary side can be estimated using equations (80.1) and (80.2) below.
Based on equations (80.1) and (80.2) and the transmission parameters in Table I, the specific estimation equations for the charging voltage and current can be determined using Table II below.
The values of E and H in Table II can be determined as follows:
A first embodiment of a battery charging system for charging a battery includes a charging circuit configured to charge the battery, and a controller communicatively coupled with the charging circuit. The controller determines a current or present condition of the battery. The controller dynamically determines a threshold voltage for controlling a charging mode of the charging circuit, based on the current condition. The controller determines a battery voltage of the battery during charging. The controller configures the charging circuit to charge the battery using a constant current (CC) mode when the battery voltage is less than the threshold voltage, and configures the charging circuit to charge the battery using a constant voltage (CV) mode when the battery voltage is equal to or greater than the threshold voltage.
A second embodiment in combination with the first embodiment, wherein the current condition comprises a current state-of-health (SoH) or a maximum state-of-charge (SoCmax) of the battery. A third embodiment in combination with the second embodiment, wherein the controller is further configured to determine the threshold voltage based on SoH or SoCmax.
A fourth embodiment in combination with the first embodiment, wherein the charging circuit comprises a transmitter-side portion configured to transmit power wirelessly, and a receiver-side portion configured to wirelessly receive power from the transmitter-side portion and charge the battery without providing control feedback to the transmitter-side portion.
A fifth embodiment in combination with any of the first to fourth embodiments, wherein the receiver-side portion comprises a series compensated circuit; and the transmitter-side portion comprises a series compensated circuit, a parallel compensated circuit, an inductive-capacitive-capacitive (LCC) compensated circuit, or an inductive-capacitive-inductive (LCL) compensated circuit.
A sixth embodiment in combination with any of the first to fifth embodiments, wherein the receiver-side portion comprises a rectifier that is configured to charge the battery without using a charging management circuit between the rectifier and the battery.
A seventh embodiment in combination with any of the first to sixth embodiments, wherein the transmitter-side portion comprises a coil resonator and at least one sensor configured to monitor a primary voltage and a primary current of the coil resonator. The controller is further configured to estimate a voltage and a current of the battery based on the primary voltage and the primary current, and determine the condition of the battery based on the estimated voltage and the estimated current of the battery.
An eighth embodiment in combination with any of the first to seventh embodiments, wherein the controller is further configured to determine the voltage and the current of the battery without receiving information on the battery from the receiver-side portion.
A ninth embodiment in combination with any of the first to eighth embodiments, wherein the transmitter-side portion comprises a power inverter that is controlled by a plurality of switching signals, and the controller is further configured to control a phase-shift angle of the plurality of switching signals to control the primary current and the primary voltage.
A tenth embodiment in combination with any of the first to ninth embodiments, wherein the power inverter is configured to operate at a same switching frequency when charging the battery in the CC mode and the CV mode according to the phase-shift angle of the plurality of switching signals.
An eleventh embodiment in combination with any of the first to tenth embodiments, wherein the switching frequency is substantially equal to a resonant frequency of the coil resonator.
A twelfth embodiment in combination with any of the first to eleventh embodiments, wherein a resonant frequency of the coil resonator of the transmitter-side portion is substantially equal to a resonant frequency of a coil resonator of the receiver-side portion.
Within the present disclosure, the word “exemplary” is used to mean “serving as an example, instance, or illustration.” Any implementation or aspect described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects of the disclosure. Likewise, the term “aspects” does not require that all aspects of the disclosure include the discussed feature, advantage or mode of operation. The term “coupled” is used herein to refer to the direct or indirect coupling between two objects. For example, if object A physically touches object B, and object B touches object C, then objects A and C may still be considered coupled to one another—even if they do not directly physically touch each other. For instance, a first object may be coupled to a second object even though the first object is never directly physically in contact with the second object. The terms “circuit” and “circuitry” are used broadly, and intended to include both hardware implementations of electrical devices and conductors that, when connected and configured, enable the performance of the functions described in the present disclosure, without limitation as to the type of electronic circuits, as well as software implementations of information and instructions that, when executed by a processor, enable the performance of the functions described in the present disclosure.
One or more of the components, steps, features and/or functions illustrated in
It is to be understood that the specific order or hierarchy of steps in the methods disclosed is an illustration of exemplary processes. Based upon design preferences, it is understood that the specific order or hierarchy of steps in the methods may be rearranged. The accompanying method claims present elements of the various steps in a sample order, and are not meant to be limited to the specific order or hierarchy presented unless specifically recited therein.
The previous description is provided to enable any person skilled in the art to practice the various aspects described herein. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects. Thus, the claims are not intended to be limited to the aspects shown herein, but are to be accorded the full scope consistent with the language of the claims, wherein reference to an element in the singular is not intended to mean “one and only one” unless specifically so stated, but rather “one or more.” Unless specifically stated otherwise, the term “some” refers to one or more. A phrase referring to “at least one of” a list of items refers to any combination of those items, including single members. As an example, “at least one of: a, b, or c” is intended to cover: a; b; c; a and b; a and c; b and c; and a, b and c. All structural and functional equivalents to the elements of the various aspects described throughout this disclosure that are known or later come to be known to those of ordinary skill in the art are expressly incorporated herein by reference and are intended to be encompassed by the claims. Moreover, nothing disclosed herein is intended to be dedicated to the public regardless of whether such disclosure is explicitly recited in the claims.
This application claims priority to and the benefit of U.S. provisional patent application No. 62/852,143 filed in the United States Patent and Trademark Office on May 23, 2019, the entire content of which is incorporated herein by reference as if fully set forth below in its entirety and for all applicable purposes.
Filing Document | Filing Date | Country | Kind |
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PCT/CN2020/090939 | 5/19/2020 | WO |
Publishing Document | Publishing Date | Country | Kind |
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WO2020/233552 | 11/26/2020 | WO | A |
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20220224140 A1 | Jul 2022 | US |
Number | Date | Country | |
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62852143 | May 2019 | US |