WO2014131264A1 - 电池的电量计量*** - Google Patents

电池的电量计量*** Download PDF

Info

Publication number
WO2014131264A1
WO2014131264A1 PCT/CN2013/080465 CN2013080465W WO2014131264A1 WO 2014131264 A1 WO2014131264 A1 WO 2014131264A1 CN 2013080465 W CN2013080465 W CN 2013080465W WO 2014131264 A1 WO2014131264 A1 WO 2014131264A1
Authority
WO
WIPO (PCT)
Prior art keywords
battery
voltage
open circuit
circuit voltage
soc
Prior art date
Application number
PCT/CN2013/080465
Other languages
English (en)
French (fr)
Inventor
朱炜礼
Original Assignee
东莞赛微微电子有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 东莞赛微微电子有限公司 filed Critical 东莞赛微微电子有限公司
Priority to US14/768,603 priority Critical patent/US10094881B2/en
Priority to JP2015559409A priority patent/JP6214013B2/ja
Publication of WO2014131264A1 publication Critical patent/WO2014131264A1/zh

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3835—Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • G01R31/387—Determining ampere-hour charge capacity or SoC
    • G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/05—Accumulators with non-aqueous electrolyte
    • H01M10/052—Li-accumulators
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

Definitions

  • the present invention relates to the field of electronic technologies, and in particular, to a power metering system for a battery. ⁇ Background technique ⁇
  • Fig. 1 is a schematic structural view of a power metering system of a prior art battery.
  • the current battery fuel gauge system is mainly composed of a microprocessor module 11, a current detecting module 12, and a current detecting resistor Rs. Since the current sense resistor Rs must be placed inside the battery and the power to the microprocessor module 11 comes directly from the battery, the system can only be located inside the battery.
  • the microprocessor module 11 can maintain data exchange with the processor of the electronic device through the universal communication interface.
  • the power consumption measurement system of the prior art battery has high power consumption.
  • the current needs to be monitored in real time, otherwise the power consumption cannot be accurately accumulated, so the sampling system must be kept in real-time working state, that is, the sampling module must Working in a normally open state, the consequence is that the total system power consumption will always remain at a relatively high level, and the system cannot actively adjust the system working state according to the load conditions.
  • the power error correction is usually a sudden change, that is, the power is updated immediately after the sampling is completed, so that the power display suddenly changes when the machine is turned on and off.
  • the battery gauge system of prior art batteries can only be located inside the battery.
  • the technical problem to be solved by the present invention is to provide a battery power metering system capable of maintaining the accuracy of the battery power metering and setting the power metering system inside or outside the battery.
  • a technical solution adopted by the present invention is: Providing a battery power metering system, the system comprising: a battery voltage collecting module and a microprocessor module, wherein an input end of the battery voltage collecting module is connected to the battery for Collecting the terminal voltage of the battery, the battery voltage collecting module works intermittently; the microprocessor module is connected with the output end of the battery voltage collecting module, is used for receiving the terminal voltage of the battery, and estimating the remaining battery power; wherein, the microprocessor module is based on the battery
  • the terminal voltage and the built-in battery model estimate the open circuit voltage of the battery, and then calculate the remaining battery capacity based on the SOC-OCV relationship of a typical lithium ion battery.
  • the built-in battery model is described by the following equations:
  • V 0 (t) V 0CV ( t ) - ( t ) *RI 2 ( t ) *R 2 (1)
  • V. (t) Characterize the terminal voltage of the battery
  • V. Cv ( t ) characterizes the open circuit voltage of the battery, characterizes the equivalent ohmic impedance of the battery
  • R 2 characterizes the equivalent polarization differential impedance
  • Wt) characterizes the charge or discharge current of the battery, flows through the equivalent polarization differential impedance
  • R 2 current I 2 (t)
  • SOC(t) is the current remaining capacity of the battery
  • SOC ( 0 ) is the initial power of the battery
  • the open circuit voltage of the current battery is calculated according to the built-in battery model combined with the terminal voltage of the currently collected battery, and then The remaining battery power is estimated based on the SOC-OCV relationship of a typical lithium ion battery.
  • a table of relationship between open circuit voltage and remaining power of the battery is established, and then according to the electricity
  • the open voltage of the battery is calculated by the terminal voltage of the pool, and the corresponding remaining power is obtained by looking up the table. If the open circuit voltage of the battery is between discrete data points, the remaining power is calculated by linear interpolation.
  • the relationship between the open circuit voltage and the remaining power of the battery is established according to the characteristics of the battery.
  • the piecewise polynomial fitting is used to obtain the polynomial group of the open circuit voltage and the remaining power of the battery, and then the open circuit voltage of the battery is calculated according to the terminal voltage of the battery, and the open circuit of the battery is brought into the battery.
  • the polynomial group of voltage and residual charge is used to calculate the remaining charge.
  • a battery fuel gauge system comprising: a battery voltage collecting module and a microprocessor module.
  • the input of the battery voltage acquisition module is connected to the battery for collecting the terminal voltage of the battery and converting it into a digital voltage signal for output.
  • the microprocessor module is coupled to the output of the battery voltage acquisition module for receiving the terminal voltage of the battery and estimating the remaining battery power.
  • the microprocessor module estimates the open circuit voltage of the battery according to the terminal voltage of the battery and the built-in battery model, and then calculates the remaining power of the battery according to the SOC-OCV relationship of the typical lithium ion battery.
  • the battery voltage collecting module includes a voltage sampling unit and an analog to digital conversion module.
  • the voltage sampling unit is a switched capacitor circuit or a high input impedance amplifier.
  • the front end of the voltage sampling unit includes a low pass filter.
  • the battery voltage acquisition module works intermittently.
  • the microprocessor module is a digital signal processor DSP.
  • the microprocessor module can also be a programmable logic device programmed into a specific algorithm.
  • V 0 (t) V 0CV ( t ) - ( t ) *RI 2 ( t ) *R 2 (1)
  • V. (t) Characterize the terminal voltage of the battery
  • V. Cv ( t ) characterizes the open circuit voltage of the battery, characterizes the equivalent ohmic impedance of the battery
  • R 2 characterizes the equivalent polarization differential impedance, and characterizes the charge or discharge current value of the battery.
  • the equivalent polarization differential impedance R 2 current is I 2 (t)
  • SOC(t) is the current battery capacity
  • SOC ( 0 ) is the initial battery capacity
  • the current battery model is combined with the built-in battery model.
  • the voltage calculates the open circuit voltage of the current battery, and then calculates the remaining battery power based on the SOC-OCV relationship of a typical lithium ion battery.
  • a table of relationship between open circuit voltage and remaining power is established, and then the open circuit voltage of the battery is calculated according to the terminal voltage of the battery, and then the corresponding remaining power is obtained by looking up the table. If the open circuit voltage of the battery is between discrete data points, The remaining power is calculated by linear interpolation.
  • the relationship between the open circuit voltage and the remaining power of the battery is established according to the characteristics of the battery.
  • the piecewise polynomial fitting is used to obtain the polynomial group of the open circuit voltage and the remaining power of the battery, and then the open circuit voltage of the battery is calculated according to the terminal voltage of the battery, and the open circuit of the battery is brought into the battery.
  • the polynomial group of voltage and residual charge is used to calculate the remaining charge.
  • the present invention estimates the open circuit voltage of the battery through the terminal voltage of the battery and the built-in battery model, and then calculates the remaining power of the battery according to the SOC-OCV relationship of the typical lithium ion battery.
  • the present invention can maintain the accuracy of the fuel gauge of the battery and can set the fuel gauge system inside or outside the battery.
  • FIG. 1 is a schematic structural view of a power metering system of a prior art battery
  • FIG. 2 is a schematic diagram showing the circuit structure of the built-in battery model of the present invention.
  • FIG. 3 is a schematic structural view of a preferred embodiment of a fuel gauge system for a battery of the present invention.
  • Fig. 4 is a view showing a correspondence relationship of SOC-OCV of the present invention.
  • FIG. 2 is a schematic diagram showing the circuit structure of the built-in battery model of the present invention.
  • the built-in battery model is a normalized equivalent circuit of the battery circuit, and the equivalent circuit includes: a first resistor, a nonlinear resistor R 2 , an OCV equivalent voltage source V s , and a first capacitor ( ⁇ .
  • the first resistor is connected in series, and the first capacitor ( ⁇ is connected in parallel with the non-linear resistor R 2 .
  • One end of the first resistor is connected to the positive PACK+ of the battery, and the 0 CV equivalent voltage source V s
  • the negative pole is connected to the negative pole PACK- of the battery.
  • the first resistance characterizes the equivalent impedance of the battery, mainly determined by the metal contact point, the conductivity of the electrolyte, and generally does not vary with the magnitude of the current.
  • the nonlinear resistance R 2 characterizes the voltage drop caused by the polarization differential of the battery.
  • the first capacitor ( ⁇ characterizes the response speed of the polarization differential to the current excitation, and the time constant determined by the nonlinear resistor R 2 and the first capacitor ( ⁇ is The OCV equivalent voltage source V s characterizes the open circuit voltage V ocv of the battery under no-load conditions.
  • the first resistor, the nonlinear resistor R 2 , and the first capacitor d are determined by the inherent characteristics of the battery.
  • FIG. 3 is a schematic structural view of a preferred embodiment of a fuel gauge system for a battery of the present invention.
  • the battery fuel gauge system preferably includes: a battery voltage acquisition module 21 and a microprocessor module 22.
  • the input end of the battery voltage collecting module 21 is connected to the battery, and the battery voltage collecting module 21 is configured to collect the terminal voltage of the battery and convert it into a digital voltage signal for output, that is, the terminal voltage of the battery is characterized by an analog voltage signal, the battery
  • the voltage acquisition module 21 then characterizes the terminal voltage of the battery as a digital voltage signal.
  • the battery voltage collecting module 21 includes a voltage sampling unit 211 and an analog to digital conversion module 212.
  • the voltage sampling unit 211 is used to collect the terminal voltage of the battery
  • the analog to digital conversion module 212 is used to characterize the terminal voltage of the battery as a digital voltage signal.
  • the voltage sampling unit 211 is preferably a high input impedance amplifier, and the voltage sampling unit 211 includes: a second resistor R 3 , a second capacitor C 2 , and an amplifier 2111 .
  • the front end of the voltage sampling unit 21 includes a low pass filter composed of a second resistor R 3 and a second capacitor C 2 .
  • the high input impedance amplifier is a buffer that operates in a continuous time system. It should be noted that in other embodiments, the voltage sampling unit 211 may also be a switched capacitor circuit.
  • the microprocessor module 22 is connected to the output of the battery voltage collecting module 21, specifically analog to digital conversion
  • the output of module 212 is coupled for receiving the terminal voltage after conversion to a digital voltage signal and estimating the remaining battery power.
  • the microprocessor module 22 is preferably a digital signal processor DSP.
  • the microprocessor module 22 can also be other programmable logic devices programmed into a specific algorithm.
  • the ground pins of the amplifier 2111, the analog-to-digital conversion module 212, and the microprocessor module 22 are all co-located with the battery negative.
  • the power metering system of the battery of this embodiment only needs to connect both ends of the battery to both ends of the battery power metering system, so the power metering system of the battery of the embodiment can be located not only inside the battery but also outside the battery, for example Located on the PCB of a battery-loaded mobile communication device or other electronic device. Since the electricity metering system can be disposed outside the battery and does not need to be directly powered by the battery, the battery voltage collecting module 21 can work intermittently, that is, intermittently collect the terminal voltage of the battery. Specifically, the system does not need to work in the real-time mode, and only needs to periodically measure the terminal voltage of the battery. In view of this, the analog-to-digital conversion module 212 does not need to work in the continuous mode, so that the system can be in most of the time. Low power state, which can significantly reduce the total power consumption of the system.
  • the battery voltage collecting module 21 collects the terminal voltage of the battery and converts it into a digital voltage signal for output, and the microprocessor module 22 receives the digital voltage signal.
  • the terminal voltage, and the open circuit voltage of the battery is estimated according to the terminal voltage of the battery and the built-in battery model, and then the battery is deduced according to the SOC-OCV (state of charge-open circuit voltage) relationship of the typical lithium ion battery. Remaining power.
  • FIG. 4 shows a schematic curve of a SOC-OCV correspondence relationship of a typical lithium battery. It can be found that both SOC and OCV are uniquely corresponding to each other, so that the SOC can be derived from the OCV by using a look-up table method. vice versa.
  • V 0 ( t ) V 0CV ( t ) -Ii ( t ) * RI 2 ( t ) * R 2 ( 1 )
  • V. (t) is the terminal voltage of the battery
  • V. Cv ( t ) is the open circuit voltage of the battery
  • L ( t ) is the current through the first resistor.
  • L ( t ) is the charging current when the battery is charged
  • L ( t ) is the discharging current when the battery is discharged.
  • l 2 ( t ) is the current through the nonlinear resistor R 2
  • R 2 is the resistance of the nonlinear resistor.
  • L (t) is estimated from the SOC characteristic equation of the battery
  • I 2 (t) is derived from the equation of the relationship between ⁇ (t) and I 2 (t) in the equivalent circuit of the battery.
  • SOC (t) is the remaining battery capacity at a certain time
  • SOC (0) is the battery power in the initial state.
  • the SOC characteristic equation expresses that as the discharge capacity increases, the remaining battery charge SOC(t) also decreases accordingly.
  • 1C unit magnification, equivalent to the nominal capacity value of the discharge current, such as 800mAh battery, the corresponding 1C is 800mA) discharge 3600 seconds, you can discharge the battery from 100% to 0%, so the discharge rate Can be directly used for the integral calculation of the power SOC.
  • the battery characteristics at each moment are in accordance with the above SOC characteristic equation. Therefore, by using the battery SOC characteristic of the previous sampling time, the current L(t) flowing through the first resistor at a later time can be estimated, which ensures the accuracy of the real-time data, because the load state of the battery is working normally.
  • the current L (t) flowing through the first resistor at the next moment is estimated according to the battery S0C characteristic at the previous moment, so that the embodiment is guaranteed.
  • the battery's fuel gauge system is adaptable to a variety of load conditions.
  • h (t) is derived from the relational equations in L (t) and I 2 (t) built-in battery models. i! (t) and 1 2
  • V Cl (t) is the voltage across the first capacitor.
  • the open circuit voltage is related to the remaining power in the polynomial group.
  • first type it is necessary to estimate the open circuit voltage of the battery according to the terminal voltage of the battery, and then check the table to obtain the corresponding remaining power. If the open circuit voltage of the battery is between discrete data points, calculate the open circuit voltage of the battery by linear interpolation to calculate the remaining Electricity.
  • second type it is necessary to calculate the open circuit voltage of the battery according to the terminal voltage of the battery, and calculate the remaining power by the polynomial group of the open circuit voltage of the battery and the remaining power.
  • the electric quantity measuring system of the battery of the invention estimates the open circuit voltage of the battery by the terminal voltage of the battery and the built-in battery model, and then calculates the remaining electric quantity of the battery according to the SOC-OCV relationship of the typical lithium ion battery.
  • the invention can adapt to the battery.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Tests Of Electric Status Of Batteries (AREA)

Abstract

一种电池的电量计量***，包括：电池电压采集模块（21），所述电池电压采集模块（21）的输入端与所述电池连接用于采集所述电池的端电压；微处理器模块（22），与所述电池电压采集模块（21）的输出端连接，用于接收所述电池的端电压，并估算电池剩余电量；其中，所述微处理器模块（22）根据所述电池的端电压及内建电池模型估算电池开路电压，再依据典型锂离子电池的SOC-OCV关系推算出所述电池的剩余电量。该电池的电量计量***能够保持电池的电量计量的精确度，并能将电量计量***设置在电池的内部或者外部。

Description

电池的电量计量***
【技术领域】
本发明涉及电子技术领域， 特别是涉及一种电池的电量计量***。 【背景技术】
目前， 随着手机等以电池供电的电子设备的广泛使用， 电池的电量计量越 来越被电子设备开发人员重视。 如图 1所示， 图 1为现有技术的电池的电量计 量***的结构示意图。 现今的电池的电量计量***主要由微处理器模块 11、 电 流检测模块 12以及电流检测电阻 Rs构成。 由于电流检测电阻 Rs必须设置在电 池内部且微处理器模块 11的供电直接来自于电池， 导致该***只能位于电池内 部。 其中微处理器模块 11可以通过通用通讯接口与电子设备的处理器保持数据 交换。 当***正常工作时， 需要不断采集电流检测电阻 Rs两端的端电压， 计算 实时电流从而计算得到电池剩余电量。 当整个用电设备进入睡眠模式、 待机模 式或者超低功耗模式时， 电量计量***仍然会采集电压， 利用 SOC-OCV ( state of charge- Open Circuit Voltage, 剩余电量 -开路电压） 的相关性， 来纠正电量估 算偏差。
但现有技术至少具有以下几个缺点：
1. 现有技术的电池的电量计量***功耗较高， 当***工作时， 需要实时监 控电流大小， 否则将无法准确累加电量， 因此采样***必须保持在实时工作状 态， 也就是说采样模块必须工作在常开的状态， 这样导致的后果就是***总功 耗始终会保持在比较高的水平， ***无法根据负载状况来主动调节***工作状 态。
2. 当***工作时， 无法自主消除电流采样时必然发生的长期电量漂移， 因 此也就无法在正常工作中自动纠正电量误差。 由于电流检测电阻本身精度有限， 造成的累积误差只有当***进入睡眠模式、 待机模式或者超低功耗模式时才可 以利用电压采样获得的开路电压进行电量修正。 在***处于连续工作状态或者 反复充放电的情况下， 无法自主对***误差进行监控， 因此会影响连续工作或 反复充放电时的精度。 当***处于睡眠模式、 待机模式或者超低功耗模式时的 电量误差纠正通常是突变的方式， 即在采样完毕以后立即对电量做出更新， 因 此会在开关机时产生电量显示突变的状况。
3. 现有技术的电池的电量计量***只能位于电池的内部。
【发明内容】
本发明主要解决的技术问题是提供一种电池的电量计量***， 能够保持电 池的电量计量的精确度， 并能将电量计量***设置在电池的内部或者外部。
为解决上述技术问题， 本发明采用的一个技术方案是： 提供一种电池的电 量计量***， 该***包括： 电池电压采集模块和微处理器模块， 电池电压采集 模块的输入端与电池连接用于采集电池的端电压， 电池电压采集模块间歇性工 作； 微处理器模块与电池电压采集模块的输出端连接， 用于接收电池的端电压， 并估算电池剩余电量； 其中， 微处理器模块根据电池的端电压及内建电池模型 估算电池开路电压，再依据典型锂离子电池的 SOC-OCV关系推算出电池的剩余 电量， 内建电池模型采用以下方程组描述：
V0(t)=V0CV ( t ) - ( t ) *R I2 ( t ) *R2 (1)
Figure imgf000004_0001
SOC(t) = SOC(0) - ft Ii(t)dt (4)
J 0
V。(t)表征电池的端电压， V。cv ( t )表征电池的开路电压， 表征电池的等 效欧姆阻抗， R2表征等效极化压差阻抗， Wt)表征电池的充电或放电电流值， 流 过等效极化压差阻抗 R2电流为 I2(t), SOC(t)为电池当前剩余电量， SOC ( 0 )为 电池的初始电量， 根据内建电池模型结合当前采集的电池的端电压算出当前电 池的开路电压， 再根据典型锂离子电池的 SOC-OCV关系推算电池剩余电量。
其中， 根据电池的特性建立电池开路电压与剩余电量关系表格， 再根据电 池的端电压推算电池的开路电压， 再查表得到对应的剩余电量， 若电池开路电 压为在离散数据点之间， 则采用线性内插法算出剩余电量。
其中， 根据电池的特性建立电池的开路电压与剩余电量关系数据， 分段多 项式拟合得到电池的开路电压与剩余电量关系多项式组， 再根据电池的端电压 推算电池开路电压， 带入电池的开路电压与剩余电量关系多项式组算出剩余电 量。
为解决上述技术问题， 本发明采用的另一个技术方案是： 提供一种电池的 电量计量***， 其包括： 电池电压采集模块和微处理器模块。 电池电压采集模 块的输入端与电池连接用于采集电池的端电压并转换为数字电压信号后输出。 微处理器模块与电池电压采集模块的输出端连接， 用于接收电池的端电压， 并 估算电池剩余电量。 其中， 微处理器模块根据电池的端电压及内建电池模型估 算电池开路电压，再依据典型锂离子电池的 SOC-OCV关系推算出电池的剩余电 量。
其中， 电池电压采集模块包括电压采样单元和模数转换模块。
其中， 电压采样单元为开关电容电路或高输入阻抗放大器。
其中， 电压采样单元的最前端包括一个低通滤波器。
其中， 电池电压采集模块间歇性工作。
其中， 微处理器模块为数字信号处理器 DSP。
其中， 微处理器模块也可以为编入特定算法的可编程逻辑器件。
其中， 内建电池模型采用以下方程组描述：
V0(t)=V0CV ( t ) - ( t ) *R I2 ( t ) *R2 (1)
)
Figure imgf000005_0001
V。(t)表征电池的端电压， V。cv ( t )表征电池的开路电压， 表征电池的等 效欧姆阻抗， R2表征等效极化压差阻抗， Wt)表征电池的充电或放电电流值， 流 过等效极化压差阻抗 R2电流为 I2(t), SOC(t)为电池当前剩余电量， SOC ( 0 )为 电池的初始电量， 根据内建电池模型结合当前采集的电池的端电压算出当前电 池的开路电压， 再根据典型锂离子电池的 SOC-OCV关系推算电池剩余电量。
其中， 根据电池的特性建立电池开路电压与剩余电量关系表格， 再根据电 池的端电压推算电池的开路电压， 再查表得到对应的剩余电量， 若电池开路电 压为在离散数据点之间， 则采用线性内插法算出剩余电量。
其中， 根据电池的特性建立电池的开路电压与剩余电量关系数据， 分段多 项式拟合得到电池的开路电压与剩余电量关系多项式组， 再根据电池的端电压 推算电池开路电压， 带入电池的开路电压与剩余电量关系多项式组算出剩余电 量。
本发明的有益效果是： 区别于现有技术的情况， 本发明通过电池的端电压 及内建电池模型估算电池开路电压，再依据典型锂离子电池的 SOC-OCV关系推 算出电池的剩余电量， 通过上述方式， 本发明能够保持电池的电量计量的精确 度， 并能将电量计量***设置在电池的内部或者外部。
【附图说明】
图 1是现有技术的电池的电量计量***的结构示意图；
图 2是本发明内建电池模型的电路结构示意图；
图 3是本发明电池的电量计量***优选实施例的结构示意图；
图 4是本发明一种 SOC-OCV对应关系的示意图。
【具体实施方式】
下面结合附图和实施例对本发明进行详细的说明。
请参阅图 2, 图 2是本发明内建电池模型的电路结构示意图。 内建电池模型 为电池电路的一种归一化建模的等效电路， 该等效电路包括： 第一电阻 、 非 线性电阻 R2、 OCV等效电压源 Vs以及第一电容 (^。 其中， 第一电阻 、 非线 性电阻 R2、 OCV等效电压源 Vs三者串联， 第一电容(^与非线性电阻 R2并联。 第一电阻 悬空的一端连接至电池的正极 PACK+, 0CV等效电压源 Vs的负极 连接至电池的负极 PACK-。
在内建电池模型中，第一电阻 表征电池的等效阻抗，主要由金属接触点， 电解液导电率决定， 一般不随电流大小变化。 非线性电阻 R2表征电池的极化压 差造成的压降。 第一电容(^表征极化压差对电流激励的响应速度， 由非线性电 阻 R2和第一电容（^共同决定的时间常数为
Figure imgf000007_0001
OCV等效电压源 Vs表征 在空载状态下电池的开路电压 Vocv。 其中， 第一电阻 、 非线性电阻 R2、 第一 电容 d由电池的固有特性确定。
请结合参阅图 3,图 3是本发明电池的电量计量***优选实施例的结构示意 图。 电池的电量计量***优选地包括： 电池电压采集模块 21以及微处理器模块 22。
电池电压采集模块 21的输入端与电池连接， 电池电压采集模块 21用于采 集电池的端电压并转换为数字电压信号后输出， 也就是说， 电池的端电压是由 模拟电压信号表征的， 电池电压采集模块 21则将电池的端电压以数字电压信号 表征。具体地，电池电压采集模块 21包括电压采样单元 211和模数转换模块 212。 电压采样单元 211用于采集电池的端电压， 模数转换模块 212用于将电池的端 电压以数字电压信号表征。
在本实施例中， 电压采样单元 211 优选为高输入阻抗放大器， 电压采样单 元 211包括： 第二电阻 R3、 第二电容 C2以及放大器 2111。 电压采样单元 21的 最前端包括一个由第二电阻 R3、 第二电容 C2构成的低通滤波器。 测量电池电量 时， 放大器 2111的输入端通过第二电阻 R3连接电池的正极 PACK+, 通过第二 电容 C2连接电池的负极 PACK-, 第二电容 C2与电池的负极共同接地。 高输入 阻抗放大器为***工作在连续时间的緩沖器。 值得注意的是， 在其他实施例中， 电压采样单元 211也可以是开关电容电路。
微处理器模块 22与电池电压采集模块 21的输出端连接， 具体与模数转换 模块 212 的输出端连接， 用于接收转化为数字电压信号之后的端电压， 并估算 电池剩余电量。 在本实施例中， 微处理器模块 22优选为数字信号处理器 DSP, 在其他实施例中， 微处理器模块 22也可以为其他编入特定算法的可编程逻辑器 件。 放大器 2111、模数转换模块 212以及微处理器模块 22的接地引脚均与电池 负极共地。
本实施例的电池的电量计量***仅需要将电池的两端连接至电池的电量计 量***的两端， 因此本实施例的电池的电量计量***不仅可以位于电池内部， 也可以位于电池外部， 例如位于电池负载的移动通讯设备或其他电子设备的 PCB板上。 由于电量计量***可以设置在电池外部， 并不需要由电池直接供电， 因此电池电压采集模块 21可以间歇性工作， 即间歇性采集电池的端电压。 具体 而言， ***不需要工作在实时模式， 只需要定时测量电池的端电压即可， 有鉴 于此， 模数转换模块 212也不需要工作在连续模式， 使得***在绝大多数时间 内可以处于低功耗状态， 这样就可以显著降低***的总功耗。
下面将结合图 的内建电池模型来说明电池电量的计量***的工作过程： 电池电压采集模块 21采集电池的端电压并转换为数字电压信号后输出， 微 处理器模块 22接收数字电压信号形式的端电压， 并根据电池的端电压及内建电 池模型估算电池的开路电压， 再依据典型锂离子电池的 SOC-OCV ( state of charge- Open Circuit Voltage, 剩余电量-开路电压 )对应关系推算出电池的剩余 电量。如图 4所示，图 4示出了一种典型锂电池 SOC-OCV对应关系的示意曲线， 可以发现， SOC和 OCV都是唯一互相对应的，因此可以利用查表的方法从 OCV 推导 SOC, 反之亦然。
如图 1所示， 由内建电池模型的结构可知， 表述电池的端电压 V。（t )与电 池的开路电压 V。cv ( t )之间的关系的方程为：
V0 ( t ) =V0CV ( t ) -Ii ( t ) *R I2 ( t ) *R2 ( 1 ) 其中， V。（t ) 为电池的端电压， V。cv ( t ) 为电池的开路电压， L ( t ) 为通 过第一电阻 的电流， 具体地， 电池充电时 L ( t )为充电电流， 电池放电时 L ( t ) 为放电电流。 为第一电阻的阻值， l2 ( t ) 为通过非线性电阻 R2的电流， R2为非线性电阻的阻值。 L (t) 由电池的 SOC特性方程估算， I2 (t) 由 ^ (t) 与 I2 (t)在电池的等效电路中的关系方程推算。
进一步， 电池的 SOC特性方程为：
SOC(t) = SOC(0) - ft Ii(t)dt ( 2 )
J 0
其中， SOC (t)为某一时刻电池的剩余电量， SOC (0)为初始状态下电池 的电量。
SOC特性方程表述了随着放电电量的增加， 电池的剩余电量 SOC(t)也随之 相应减小的关系。 筒言之， 以 1C (单位倍率， 等同于标称容量值的放电电流， 比如 800mAh的电池， 对应的 1C就是 800mA )放电 3600秒， 就可以把电池从 100%放电至 0%, 因此放电倍率可以直接用于电量 SOC的积分运算。
每一个时刻的电池特性都符合上述 SOC特性方程。 因此， 利用前一个采样 时刻的电池 SOC特性，就可以估算出后一时刻的流过第一电阻 的电流 L ( t ), 保证了实时数据的准确性， 由于电池的负载状态无论是在正常工作模式下， 还 是在睡眠模式、 待机模式或者超低功耗模式下， 都是依据前一时刻电池 S0C特 性推算下一时刻流过第一电阻 的电流 L (t), 所以保证了本实施例的电池的 电量计量***能够适应各种负载状态。
h (t) 由 L (t)与 I2 (t)在内建电池模型中的关系方程推算。 i! (t)与 12
(t)在内建电池模型中的关系方程为：
Figure imgf000009_0001
ft I2-I1 Λ υ /、
J。 dt=Vci(t) (4)
其中， VCl(t)为第一电容两端的电压。
通过上述过程 (1)、 （2)、 （3)和 (4), 计算出通过第一电阻 的电流 L (t)和 通过非线性电阻 R2的电流 I2 ( t )之后， 将 L ( t )、 I2 (t)带入公式（ 1 )并结合 该时刻采样的电池端电压 V。 (t)可得到电池的开路电压 V。cv (t)。 再依据典型 锂离子电池的 S0C-0CV关系推算出电池的剩余电量。电池的剩余电量和开路电 压之间， 有唯一对应关系。 对应关系有两种： 一种是根据电池的特性建立电池开路电压与剩余电量关 系表格； 另一种是根据电池的特性建立电池的开路电压与剩余电量关系数据， 分段多项式拟合得到电池的开路电压与剩余电量关系多项式组。 对于第一种， 需要根据电池的端电压推算电池的开路电压， 再查表得到对应的剩余电量， 若 电池开路电压为在离散数据点之间， 则推算电池开路电压采用线性内插法算出 剩余电量。 对于第二种， 需要根据电池的端电压推算电池开路电压， 带入电池 的开路电压与剩余电量关系多项式组算出剩余电量。
本发明电池的电量计量***通过电池的端电压及内建电池模型估算电池开路 电压，再依据典型锂离子电池的 SOC-OCV关系推算出电池的剩余电量，通过上 述方式， 本发明能够适应电池的各种负载状态， 保持计量精确度， 降低***功 耗， 并且能够将电量计量***设置在电池内部或者外部。
以上所述仅为本发明的实施方式， 并非因此限制本发明的专利范围， 凡是 利用本发明说明书及附图内容所作的等效结构或等效流程变换， 或直接或间接 运用在其他相关的技术领域， 均同理包括在本发明的专利保护范围内。

Claims

权利要求
1. 一种电池的电量计量***， 所述***包括：
电池电压采集模块， 所述电池电压采集模块的输入端与所述电池连接用于 采集所述电池的端电压， 所述电池电压采集模块间歇性工作；
微处理器模块， 与所述电池电压采集模块的输出端连接， 用于接收所述电 池的端电压， 并估算电池剩余电量；
其中， 所述微处理器模块根据所述电池的端电压及内建电池模型估算电池 开路电压， 再依据典型锂离子电池的 SOC-OCV 关系推算出所述电池的剩余电 量， 所述内建电池模型采用以下方程组描述：
V0(t)=V0CV ( t ) - ( t ) *R I2 ( t ) *R2 (1)
Figure imgf000011_0001
SOC(t) = SOC(0) - ft Ii(t)dt (4)
J 0
其中， V。(t)表征所述电池的端电压， V。cv ( t )表征所述电池的开路电压， 表征所述电池的等效欧姆阻抗， R2表征等效极化压差阻抗， Mt)表征电池的充 电或放电电流值， 流过等效极化压差阻抗 R2电流为 I2(t), SOC(t)为所述电池当 前剩余电量， SOC ( 0 ) 为所述电池的初始电量， 根据所述内建电池模型结合当 前采集的所述电池的端电压算出当前所述电池的开路电压， 再根据典型锂离子 电池的 SOC-OCV关系推算所述电池剩余电量。
2. 根据权利要求 1所述的电池的电量计量***， 其中， 根据所述电池的特 性建立电池开路电压与剩余电量关系表格， 再根据所述电池的端电压推算所述 电池的开路电压， 再查表得到对应的剩余电量， 若所述电池开路电压为在离散 数据点之间， 则采用线性内插法算出剩余电量。
3. 根据权利要求 1所述的电池的电量计量***， 其中， 根据所述电池的特 性建立所述电池的开路电压与剩余电量关系数据， 分段多项式拟合得到所述电 池的开路电压与剩余电量关系多项式组， 再根据所述电池的端电压推算电池开 路电压， 带入所述电池的开路电压与剩余电量关系多项式组算出剩余电量。
4. 一种电池的电量计量***， 所述***包括：
电池电压采集模块， 所述电池电压采集模块的输入端与所述电池连接用于 采集所述电池的端电压；
微处理器模块， 与所述电池电压采集模块的输出端连接， 用于接收所述电 池的端电压， 并估算电池剩余电量；
其中， 所述微处理器模块根据所述电池的端电压及内建电池模型估算电池 开路电压， 再依据典型锂离子电池的 SOC-OCV 关系推算出所述电池的剩余电 量。
5. 根据权利要求 4所述的电池的电量计量***， 其中， 所述电池电压采集 模块包括电压采样单元和模数转换模块。
6. 根据权利要求 5所述的电池的电量计量***， 其中， 所述电压采样单元 为开关电容电路或高输入阻抗放大器。
7. 根据权利要求 5所述的电池的电量计量***， 其中， 所述电压采样单元 的最前端包括一个低通滤波器。
8. 根据权利要求 4所述的电池的电量计量***， 其中， 所述电池电压采集 模块间歇性工作。
9. 根据权利要求 4所述的电池的电量计量***， 其中， 所述微处理器模块 为数字信号处理器 DSP。
10.根据权利要求 4所述的电池的电量计量***， 其中， 所述微处理器模块 为编入特定算法的可编程逻辑器件。
11. 根据权利要求 4所述的电池的电量计量***， 其中， 所述内建电池模型 采用以下方程组描述：
V0(t)=V0CV ( t ) - ( t ) *R I2 ( t ) *R2 (1)
I2(t) * R2 =VCl(t) (2)
Figure imgf000013_0001
SOC(t) = SOC(0) - ft Ii(t)dt (4)
J 0
其中， V。(t)表征所述电池的端电压， V。cv ( t )表征所述电池的开路电压， 表征所述电池的等效欧姆阻抗， R2表征等效极化压差阻抗， I^t)表征电池的充 电或放电电流值， 流过等效极化压差阻抗 R2电流为 I2(t), SOC(t)为所述电池当 前剩余电量， SOC ( 0 ) 为所述电池的初始电量， 根据所述内建电池模型结合当 前采集的所述电池的端电压算出当前所述电池的开路电压， 再根据典型锂离子 电池的 SOC-OCV关系推算所述电池剩余电量。
12.根据权利要求 11所述的电池的电量计量***， 其中， 根据所述电池的 特性建立电池开路电压与剩余电量关系表格， 再根据所述电池的端电压推算所 述电池的开路电压， 再查表得到对应的剩余电量， 若所述电池开路电压为在离 散数据点之间， 则采用线性内插法算出剩余电量。
13.根据权利要求 11所述的电池的电量计量***， 其中， 根据所述电池的 特性建立所述电池的开路电压与剩余电量关系数据， 分段多项式拟合得到所述 电池的开路电压与剩余电量关系多项式组， 再根据所述电池的端电压推算电池 开路电压， 带入所述电池的开路电压与剩余电量关系多项式组算出剩余电量。
PCT/CN2013/080465 2013-02-28 2013-07-31 电池的电量计量*** WO2014131264A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US14/768,603 US10094881B2 (en) 2013-02-28 2013-07-31 Battery fuel gauging system
JP2015559409A JP6214013B2 (ja) 2013-02-28 2013-07-31 電池の電量計量システム及び電池の電量計量方法

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201310064218 2013-02-28
CN201310064218.9 2013-02-28

Publications (1)

Publication Number Publication Date
WO2014131264A1 true WO2014131264A1 (zh) 2014-09-04

Family

ID=51427506

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2013/080465 WO2014131264A1 (zh) 2013-02-28 2013-07-31 电池的电量计量***

Country Status (4)

Country Link
US (1) US10094881B2 (zh)
JP (1) JP6214013B2 (zh)
CN (2) CN203894390U (zh)
WO (1) WO2014131264A1 (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108957325A (zh) * 2017-05-23 2018-12-07 北京握奇智能科技有限公司 一种电池电量计量指示方法和***

Families Citing this family (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104880673A (zh) * 2015-05-11 2015-09-02 深圳天珑无线科技有限公司 电池电量测量方法以及移动终端
CN106324506A (zh) * 2015-06-17 2017-01-11 炬才微电子（深圳）有限公司 嵌入式设备的电池测试方法、装置及***
CN105044610B (zh) * 2015-07-10 2019-01-22 西安交通大学 基于端口电压无需电流检测的高精度电池电量估算方法
CN106546920B (zh) * 2015-09-18 2024-02-06 广东赛微微电子股份有限公司 电池监测电路及***
US11333710B2 (en) * 2016-06-28 2022-05-17 Bayerische Motoren Werke Aktiengesellschaft Method and device for estimating a voltage of a battery
CN107436418B (zh) * 2017-06-15 2020-05-19 捷开通讯(深圳)有限公司 校准电池电量衰减的方法、终端及装置
CN109387786B (zh) * 2017-08-11 2021-08-06 深圳迈瑞生物医疗电子股份有限公司 一种aed电量管理方法、装置、电子设备及存储介质
US11035902B2 (en) * 2017-10-10 2021-06-15 Integrated Device Technology, Inc. Advanced fuel gauge
CN108008183B (zh) * 2017-11-28 2021-01-15 深圳市路畅科技股份有限公司 一种电量测量方法、***、设备及计算机存储介质
CN108375738A (zh) * 2018-04-03 2018-08-07 东莞赛微微电子有限公司 一种电压采样电路以及电源装置
CN109188291B (zh) * 2018-09-17 2020-10-27 济南大学 一种铅酸蓄电池核容放电剩余容量预测方法
CN109581236A (zh) * 2019-01-22 2019-04-05 深圳市华德安科技有限公司 锂离子电池容量的检测方法、装置及计算机可读存储介质
CN109802152B (zh) * 2019-02-20 2022-04-05 广西睿奕新能源股份有限公司 监测锂一次性电池容量的电路结构的应用
CN110907842B (zh) * 2019-12-02 2021-09-07 深圳市欧瑞博科技股份有限公司 智能门锁电量检测装置、方法和智能门锁
CN114055407A (zh) * 2020-07-30 2022-02-18 苏州宝时得电动工具有限公司 电动工具控制***
CN113075565B (zh) * 2021-03-29 2022-12-13 潍柴动力股份有限公司 电池耐久测试工况设计方法、装置及电池耐久测试方法
CN114578130A (zh) * 2021-11-30 2022-06-03 荣耀终端有限公司 电量校准方法和相关装置

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050275407A1 (en) * 2004-06-11 2005-12-15 Nissan Motor Co., Ltd. Available input-output power estimating device for secondary battery
JP3747826B2 (ja) * 2001-09-05 2006-02-22 日産自動車株式会社 二次電池の充電率推定装置
US7136762B2 (en) * 2004-01-14 2006-11-14 Fuji Jukogyo Kabushiki Kaisha System for calculating remaining capacity of energy storage device
US7352156B2 (en) * 2005-07-19 2008-04-01 Nissan Motor Co., Ltd. State-of-charge estimating device of secondary battery
CN102135603A (zh) * 2010-01-21 2011-07-27 财团法人工业技术研究院 电池循环寿命估测装置
CN102246385A (zh) * 2008-10-10 2011-11-16 迪亚能源股份有限公司 用于确定电池的荷电状态的方法和设备
CN102483442A (zh) * 2010-02-18 2012-05-30 日产自动车株式会社 电池状态估计装置以及电池状态估计方法
CN102487209A (zh) * 2010-12-02 2012-06-06 财团法人工业技术研究院 电池充电状态估计方法与电池控制单元

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7471016B2 (en) * 2005-12-19 2008-12-30 O2Micro International Limited Low pass filter
JP2008199723A (ja) * 2007-02-09 2008-08-28 Railway Technical Res Inst バッテリーの残容量推定装置
US8170818B2 (en) * 2010-03-10 2012-05-01 GM Global Technology Operations LLC Battery state estimator using multiple sampling rates
JP5395006B2 (ja) * 2010-07-22 2014-01-22 株式会社日立製作所 電池制御システムとその制御方法並びに電池システム
JP5535959B2 (ja) * 2011-02-25 2014-07-02 三菱重工業株式会社 充電率推定装置、充電率推定方法、及びプログラム
JP5535968B2 (ja) * 2011-03-08 2014-07-02 三菱重工業株式会社 充電率推定装置、充電率推定方法、及びプログラム
US8706333B2 (en) * 2011-06-28 2014-04-22 Ford Global Technologies, Llc Nonlinear observer for battery state of charge estimation

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3747826B2 (ja) * 2001-09-05 2006-02-22 日産自動車株式会社 二次電池の充電率推定装置
US7136762B2 (en) * 2004-01-14 2006-11-14 Fuji Jukogyo Kabushiki Kaisha System for calculating remaining capacity of energy storage device
US20050275407A1 (en) * 2004-06-11 2005-12-15 Nissan Motor Co., Ltd. Available input-output power estimating device for secondary battery
US7352156B2 (en) * 2005-07-19 2008-04-01 Nissan Motor Co., Ltd. State-of-charge estimating device of secondary battery
CN102246385A (zh) * 2008-10-10 2011-11-16 迪亚能源股份有限公司 用于确定电池的荷电状态的方法和设备
CN102135603A (zh) * 2010-01-21 2011-07-27 财团法人工业技术研究院 电池循环寿命估测装置
CN102483442A (zh) * 2010-02-18 2012-05-30 日产自动车株式会社 电池状态估计装置以及电池状态估计方法
CN102487209A (zh) * 2010-12-02 2012-06-06 财团法人工业技术研究院 电池充电状态估计方法与电池控制单元

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108957325A (zh) * 2017-05-23 2018-12-07 北京握奇智能科技有限公司 一种电池电量计量指示方法和***

Also Published As

Publication number Publication date
US20160003913A1 (en) 2016-01-07
US10094881B2 (en) 2018-10-09
CN203894390U (zh) 2014-10-22
JP6214013B2 (ja) 2017-10-18
CN104020419A (zh) 2014-09-03
JP2016516181A (ja) 2016-06-02
CN104020419B (zh) 2017-02-08

Similar Documents

Publication Publication Date Title
WO2014131264A1 (zh) 电池的电量计量***
WO2018196121A1 (zh) 一种确定电池内短路的方法及装置
CN107991623B (zh) 一种考虑温度和老化程度的电池安时积分soc估计方法
CN106716158A (zh) 电池荷电状态估算方法和装置
WO2014161325A1 (zh) 一种检测电池电量的方法、装置及终端
CN102645638B (zh) 一种锂电池组soc估算方法
CN112238787A (zh) 一种锂电池管理***
CN109752660B (zh) 一种无电流传感器的电池荷电状态估计方法
CN106959417A (zh) 电池荷电状态的获取方法及装置
CN107861074B (zh) 一种锂电池soc估算方法
CN109696637A (zh) 锂一次性电池容量监测方法
CN109828215A (zh) 一种提升电池单体soc估算精度的方法和***
CN104391249A (zh) 电池电量显示方法、装置及移动终端
TW201734493A (zh) 電池健康狀況偵測方法及其電路
CN104931892A (zh) 一种移动终端电池容量计算方法及***
CN110687458A (zh) 终端电池电量确定方法及装置
CN104777427A (zh) 一种适用于铅酸电池的soc在线检测方法
WO2016101661A1 (zh) 一种电池电量计量***及方法
CN106291386B (zh) 一种快速检测可充电电池容量的方法
WO2014169642A1 (zh) 一种检测电池容量的装置、方法及电池
CN109802152A (zh) 监测锂一次性电池容量的电路结构
CN107402356B (zh) 一种基于动态参数辨识的ekf估算铅酸电池soc方法
JP2011172415A (ja) 二次電池装置
CN108710085A (zh) 一种动力电池的待均衡单体筛选方法及***
Deng et al. An improved algorithm of SOC testing based on open-circuit voltage-ampere hour method

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 13876463

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 14768603

Country of ref document: US

ENP Entry into the national phase

Ref document number: 2015559409

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 11.12.2015)

122 Ep: pct application non-entry in european phase

Ref document number: 13876463

Country of ref document: EP

Kind code of ref document: A1