CN107703451A - A kind of electric quantity of lithium battery intelligence estimation system and method - Google Patents
A kind of electric quantity of lithium battery intelligence estimation system and method Download PDFInfo
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- CN107703451A CN107703451A CN201611059970.4A CN201611059970A CN107703451A CN 107703451 A CN107703451 A CN 107703451A CN 201611059970 A CN201611059970 A CN 201611059970A CN 107703451 A CN107703451 A CN 107703451A
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- 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
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Abstract
The invention discloses a kind of electric quantity of lithium battery intelligence estimation system and method, it is related to field of batteries, it is characterised in that the system includes：For obtaining lithium battery/lithium battery group electric current in the process of running, voltage and the sensor group of temperature data information；The sensor components level signal is connected to the model building module for establishing lithium battery/battery pack model and the compensating module of compensation first compensated to charge rate, discharge rate and temperature；The model building module signal is connected to integration module；The first compensating module signal is connected to obtains the arithmetic processor of final electricity estimate for the progress computing of the voltage according to acquisition, battery and temperature data information；Signal is connected to integration module, initialization module, inconsistent adjusting module, the second compensating module and Self-tuning System module to the arithmetic processor respectively.It has accuracy it is higher, it is intelligent, possess Self-tuning System and adjustment it is inconsistent influence etc. multiple functions the advantages of.
Description
Technical field
The present invention relates to field of batteries, especially a kind of electric quantity of lithium battery intelligence estimation system and method.
Background technology
People mainly use two kinds of monitoring methods at present：A kind of method is based on current integration；And another kind is then with electricity
Based on pressure measurement.The former is according to a kind of sane thought, i.e., if the charge and discharge stream to all batteries integrates, so that it may
To draw the size of dump energy.When battery is just charged and is known to be fully charged, current integration method effect is used
It is very good.This method is successfully applied to during current numerous monitoring cell electricity quantity.
But this method has the weakness of its own, particularly under battery for a long time idle use pattern.If battery
It is unused within several days after charging, or several charge and discharge cycles are not all fully charged, then as caused by reacting internal chemical
Self-discharge phenomenon will become apparent from.It there is no method to measure self discharge at present, you must use one and predefine
Equation it is corrected.Different battery models has different self discharge speed, this depend on charged state (SOC),
The factor such as temperature and the charge and discharge cycles history of battery.Create self discharge accurate model need take an undesirably long time into
Row data collection, even if so still it cannot be guaranteed that the accuracy of result.
This method there is another problem, that is, the electric discharge completely immediately only after fully charged, can be more
New total electricity value.If the number to be discharged completely in battery lifetime is seldom, then is updated in electric quantity monitoring meter actual
Before charge value, the true capacity of battery may have begun to decline to a great extent.This can cause monitoring meter pair can within these cycles
Power consumption makes too high estimation., can electricity consumption even if battery electric quantity has carried out newest renewal under given temperature and the velocity of discharge
Amount still can change with the change of the velocity of discharge and temperature.
The content of the invention
The goal of the invention of the present invention is：For above-mentioned problem, there is provided a kind of electric quantity of lithium battery intelligence estimation system
System and method, it have accuracy it is higher, it is intelligent, possess Self-tuning System and adjustment it is inconsistent influence etc. multiple functions the advantages of.
The technical solution adopted by the present invention is as follows：
A kind of electric quantity of lithium battery intelligence estimation system, it is characterised in that the system includes：For obtaining lithium battery/lithium battery
The sensor group of group electric current in the process of running, voltage and temperature data information；The sensor components level signal is connected to
For the compensation established the model building module of lithium battery/battery pack model and compensated to charge rate, discharge rate and temperature
First compensating module；The model building module signal is connected to integration module；The first compensating module signal is connected to use
Computing, which is carried out, in the voltage according to acquisition, battery and temperature data information obtains the arithmetic processor of final electricity estimate；Institute
State arithmetic processor respectively signal be connected to integration module, initialization module, inconsistent adjusting module, the second compensating module and from
Adjust module.
Further, the sensor group includes：For obtaining in lithium battery/lithium battery group running by voltage data
The voltage sensor of information, for obtain the current sensor of current data information in lithium battery/lithium battery group running, use
In obtaining in lithium battery/lithium battery group running by the temperature sensor of temperature data information.
Further, first compensating module includes：Charge rate compensating module, discharge rate compensating module and temperature-compensating
Module；The charge rate compensating module is used to compensate the charge rate of lithium battery/battery pack；The discharge rate compensating module
For being compensated to the discharge rate of lithium battery/battery pack；The temperature compensation module is used for the temperature to lithium battery/battery pack
Compensate；Signal is connected at computing respectively for the charge rate compensating module, discharge rate compensating module and temperature compensation module
Manage device.
Further, second compensating module includes：For the self discharge to lithium battery/battery pack compensate from
Discharging compensation module；The compensation of ageing module compensated for the aging to lithium battery/battery pack；The self discharge compensates mould
Signal is connected to arithmetic processor respectively for block and compensation of ageing module.
Further, the Self-tuning System module is used to carry out Self-tuning System to system；The inconsistent adjusting module is used to go
Except the inconsistent influence in system；The initialization module is used to initialize system.
A kind of electricity intelligence estimation method of electric quantity of lithium battery intelligence estimation system, it is characterised in that methods described includes
Following steps：
Step 1：Initialization module initializes to system；
Step 2：Sensor group obtains the voltage, electric current and temperature data information of lithium battery/lithium battery group in real time；By the number of acquisition
It is believed that breath is sent respectively to the first compensating module and model building module；
Step 3：Model building module is according to the model of lithium battery/lithium battery group of foundation, by the voltage, electric current and temperature of acquisition
Data message carries out adaptive processes；Then the data message after adaptive processes is sent to integration module；
Step 4：Integration module carries out Integral Processing to the data message received, and the data message after processing is sent into computing
Processor；First compensating module compensates the voltage received, electric current and temperature data information, by the number after compensation
It is believed that breath is sent to arithmetic processor；
Step 5：Meanwhile second compensating module compensation of ageing is carried out to lithium battery/lithium battery group and self discharge compensates, after compensation
As a result arithmetic processor is sent back；
Step 6：Self-tuning System module carries out real-time Self-tuning System processing to system；Place of the inconsistent adjusting module to arithmetic processor
Manage result and carry out inconsistent adjustment.
Further, the method that first compensating module compensates to discharge rate includes step：
Step 1：A reference current is provided, when calculating electricity, the electricity conversion that other discharge currents are released is arrived with reference to mark
The electricity that quasi- electric current is put, to eliminate different discharge currents to error caused by charge value calculating；
Step 2：The model of discharging compensation is established, the model of discharging compensation is obtained according to equation below：
QUOTE ；Wherein, I is discharge current；T is discharge time；N is relevant with battery types normal
Number；K is constant relevant with active matter quality；
Step:3：Two kinds of discharge rates are discharged, arrive equation below：
QUOTE ；
QUOTE ；
According to above-mentioned formula, n values and k values can be calculated, finally give the capacity under any discharge rate.
Further, second compensating module is to the method for lithium battery/lithium battery progress compensation of ageing：
Step 1：Defining senescence-factor is： QUOTE ；Wherein, wherein QUOTE It is reference battery capacity, is battery maximum capacity of the battery capacity during whole use； QUOTE For at certain
The battery capacity of 1 aging point, it is determined by battery terminal voltage in aging course and battery capacity relation curve；
Step 2：Obtaining final electricity calculating change type is：
QUOTE ；
Wherein, QUOTE For the charge value of no progress compensation of ageing, QUOTE For the value after compensation of ageing.
In summary, by adopting the above-described technical solution, the beneficial effects of the invention are as follows：
1st, accuracy rate is high：The electric quantity of lithium battery estimating system and method for the present invention, is existed by two compensating modules to battery electric quantity
The problem of being likely encountered in estimation procedure is compensated, and improves the precision of battery electric quantity estimation.
2nd, it is intelligent：The electric quantity of lithium battery estimating system and method for the present invention, whole process, to final since initialization
Computing obtain a result, result is obtained by automated system operation, intelligence degree is high, without thinking to participate in.
3rd, it is vdiverse in function：The electric quantity of lithium battery estimating system and method for the present invention, except can estimate to battery electric quantity
Beyond meter, self other adjustment and self-compensating function are also equipped with, it is vdiverse in function.
4th, possess and self adjust and inconsistent adjustment function：The electric quantity of lithium battery estimating system and method for the present invention, possesses
Self adjust with inconsistent adjustment function, improve the precision of system from another point of view.
Brief description of the drawings
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein：
Fig. 1 is a kind of system structure diagram of electric quantity of lithium battery intelligence estimation system of the present invention.
Embodiment
All features disclosed in this specification, or disclosed all methods or during the step of, except mutually exclusive
Feature and/or step beyond, can combine in any way.
This specification（Including any accessory claim, summary）Disclosed in any feature, unless specifically stated otherwise,
Replaced by other equivalent or with similar purpose alternative features.I.e., unless specifically stated otherwise, each feature is a series of
An example in equivalent or similar characteristics.
A kind of electric quantity of lithium battery intelligence estimation system and method, system architecture such as Fig. 1 institutes are provided in the embodiment of the present invention 1
Show：
A kind of electric quantity of lithium battery intelligence estimation system, it is characterised in that the system includes：For obtaining lithium battery/lithium battery
The sensor group of group electric current in the process of running, voltage and temperature data information；The sensor components level signal is connected to
For the compensation established the model building module of lithium battery/battery pack model and compensated to charge rate, discharge rate and temperature
First compensating module；The model building module signal is connected to integration module；The first compensating module signal is connected to use
Computing, which is carried out, in the voltage according to acquisition, battery and temperature data information obtains the arithmetic processor of final electricity estimate；Institute
State arithmetic processor respectively signal be connected to integration module, initialization module, inconsistent adjusting module, the second compensating module and from
Adjust module.
Further, the sensor group includes：For obtaining in lithium battery/lithium battery group running by voltage data
The voltage sensor of information, for obtain the current sensor of current data information in lithium battery/lithium battery group running, use
In obtaining in lithium battery/lithium battery group running by the temperature sensor of temperature data information.
Further, first compensating module includes：Charge rate compensating module, discharge rate compensating module and temperature-compensating
Module；The charge rate compensating module is used to compensate the charge rate of lithium battery/battery pack；The discharge rate compensating module
For being compensated to the discharge rate of lithium battery/battery pack；The temperature compensation module is used for the temperature to lithium battery/battery pack
Compensate；Signal is connected at computing respectively for the charge rate compensating module, discharge rate compensating module and temperature compensation module
Manage device.
Further, second compensating module includes：For the self discharge to lithium battery/battery pack compensate from
Discharging compensation module；The compensation of ageing module compensated for the aging to lithium battery/battery pack；The self discharge compensates mould
Signal is connected to arithmetic processor respectively for block and compensation of ageing module.
Further, the Self-tuning System module is used to carry out Self-tuning System to system；The inconsistent adjusting module is used to go
Except the inconsistent influence in system；The initialization module is used to initialize system.
A kind of method of electric quantity of lithium battery intelligence estimation system, system architecture such as Fig. 1 institutes are provided in the embodiment of the present invention 2
Show：
A kind of electricity intelligence estimation method of electric quantity of lithium battery intelligence estimation system, it is characterised in that methods described includes following
Step：
Step 1：Initialization module initializes to system；
Step 2：Sensor group obtains the voltage, electric current and temperature data information of lithium battery/lithium battery group in real time；By the number of acquisition
It is believed that breath is sent respectively to the first compensating module and model building module；
Step 3：Model building module is according to the model of lithium battery/lithium battery group of foundation, by the voltage, electric current and temperature of acquisition
Data message carries out adaptive processes；Then the data message after adaptive processes is sent to integration module；
Step 4：Integration module carries out Integral Processing to the data message received, and the data message after processing is sent into computing
Processor；First compensating module compensates the voltage received, electric current and temperature data information, by the number after compensation
It is believed that breath is sent to arithmetic processor；
Step 5：Meanwhile second compensating module compensation of ageing is carried out to lithium battery/lithium battery group and self discharge compensates, after compensation
As a result arithmetic processor is sent back；
Step 6：Self-tuning System module carries out real-time Self-tuning System processing to system；Place of the inconsistent adjusting module to arithmetic processor
Manage result and carry out inconsistent adjustment.
Further, the method that first compensating module compensates to discharge rate includes step：
Step 1：A reference current is provided, when calculating electricity, the electricity conversion that other discharge currents are released is arrived with reference to mark
The electricity that quasi- electric current is put, to eliminate different discharge currents to error caused by charge value calculating；
Step 2：The model of discharging compensation is established, the model of discharging compensation is obtained according to equation below：
QUOTE ；Wherein, I is discharge current；T is discharge time；N is relevant with battery types normal
Number；K is constant relevant with active matter quality；
Step:3：Two kinds of discharge rates are discharged, arrive equation below：
QUOTE ；
QUOTE ；
According to above-mentioned formula, n values and k values can be calculated, finally give the capacity under any discharge rate.
Further, second compensating module is to the method for lithium battery/lithium battery progress compensation of ageing：
Step 1：Defining senescence-factor is： QUOTE ；Wherein, wherein QUOTE It is reference battery capacity, is battery maximum capacity of the battery capacity during whole use； QUOTE For at certain
The battery capacity of 1 aging point, it is determined by battery terminal voltage in aging course and battery capacity relation curve；
Step 2：Obtaining final electricity calculating change type is：
QUOTE ；
Wherein, QUOTE For the charge value of no progress compensation of ageing, QUOTE For the value after compensation of ageing.
A kind of electric quantity of lithium battery intelligence estimation system and method, system architecture such as Fig. 1 institutes are provided in the embodiment of the present invention 3
Show：
A kind of electric quantity of lithium battery intelligence estimation system, it is characterised in that the system includes：For obtaining lithium battery/lithium battery
The sensor group of group electric current in the process of running, voltage and temperature data information；The sensor components level signal is connected to
For the compensation established the model building module of lithium battery/battery pack model and compensated to charge rate, discharge rate and temperature
First compensating module；The model building module signal is connected to integration module；The first compensating module signal is connected to use
Computing, which is carried out, in the voltage according to acquisition, battery and temperature data information obtains the arithmetic processor of final electricity estimate；Institute
State arithmetic processor respectively signal be connected to integration module, initialization module, inconsistent adjusting module, the second compensating module and from
Adjust module.
Further, the sensor group includes：For obtaining in lithium battery/lithium battery group running by voltage data
The voltage sensor of information, for obtain the current sensor of current data information in lithium battery/lithium battery group running, use
In obtaining in lithium battery/lithium battery group running by the temperature sensor of temperature data information.
Further, first compensating module includes：Charge rate compensating module, discharge rate compensating module and temperature-compensating
Module；The charge rate compensating module is used to compensate the charge rate of lithium battery/battery pack；The discharge rate compensating module
For being compensated to the discharge rate of lithium battery/battery pack；The temperature compensation module is used for the temperature to lithium battery/battery pack
Compensate；Signal is connected at computing respectively for the charge rate compensating module, discharge rate compensating module and temperature compensation module
Manage device.
Further, second compensating module includes：For the self discharge to lithium battery/battery pack compensate from
Discharging compensation module；The compensation of ageing module compensated for the aging to lithium battery/battery pack；The self discharge compensates mould
Signal is connected to arithmetic processor respectively for block and compensation of ageing module.
Further, the Self-tuning System module is used to carry out Self-tuning System to system；The inconsistent adjusting module is used to go
Except the inconsistent influence in system；The initialization module is used to initialize system.
A kind of electricity intelligence estimation method of electric quantity of lithium battery intelligence estimation system, it is characterised in that methods described includes
Following steps：
Step 1：Initialization module initializes to system；
Step 2：Sensor group obtains the voltage, electric current and temperature data information of lithium battery/lithium battery group in real time；By the number of acquisition
It is believed that breath is sent respectively to the first compensating module and model building module；
Step 3：Model building module is according to the model of lithium battery/lithium battery group of foundation, by the voltage, electric current and temperature of acquisition
Data message carries out adaptive processes；Then the data message after adaptive processes is sent to integration module；
Step 4：Integration module carries out Integral Processing to the data message received, and the data message after processing is sent into computing
Processor；First compensating module compensates the voltage received, electric current and temperature data information, by the number after compensation
It is believed that breath is sent to arithmetic processor；
Step 5：Meanwhile second compensating module compensation of ageing is carried out to lithium battery/lithium battery group and self discharge compensates, after compensation
As a result arithmetic processor is sent back；
Step 6：Self-tuning System module carries out real-time Self-tuning System processing to system；Place of the inconsistent adjusting module to arithmetic processor
Manage result and carry out inconsistent adjustment.
Further, the method that first compensating module compensates to discharge rate includes step：
Step 1：A reference current is provided, when calculating electricity, the electricity conversion that other discharge currents are released is arrived with reference to mark
The electricity that quasi- electric current is put, to eliminate different discharge currents to error caused by charge value calculating；
Step 2：The model of discharging compensation is established, the model of discharging compensation is obtained according to equation below：
QUOTE ；Wherein, I is discharge current；T is discharge time；N is relevant with battery types normal
Number；K is constant relevant with active matter quality；
Step:3：Two kinds of discharge rates are discharged, arrive equation below：
QUOTE ；
QUOTE ；
According to above-mentioned formula, n values and k values can be calculated, finally give the capacity under any discharge rate.
Further, second compensating module is to the method for lithium battery/lithium battery progress compensation of ageing：
Step 1：Defining senescence-factor is： QUOTE ；Wherein, wherein QUOTE It is reference battery capacity, is battery maximum capacity of the battery capacity during whole use； QUOTE For at certain
The battery capacity of 1 aging point, it is determined by battery terminal voltage in aging course and battery capacity relation curve；
Step 2：Obtaining final electricity calculating change type is：
QUOTE ；
Wherein, QUOTE For the charge value of no progress compensation of ageing, QUOTE For the value after compensation of ageing.
The invention is not limited in foregoing embodiment.The present invention, which expands to, any in this manual to be disclosed
New feature or any new combination, and disclose any new method or process the step of or any new combination.
Claims (8)
1. a kind of electric quantity of lithium battery intelligence estimation system, it is characterised in that the system includes：For obtaining lithium battery/lithium electricity
The sensor group of pond group electric current in the process of running, voltage and temperature data information；The sensor components level signal connection
In the benefit for establishing the model building module of lithium battery/battery pack model and being compensated to charge rate, discharge rate and temperature
Repay the first compensating module；The model building module signal is connected to integration module；The first compensating module signal is connected to
Computing, which is carried out, for the voltage according to acquisition, battery and temperature data information obtains the arithmetic processor of final electricity estimate；
The arithmetic processor respectively signal be connected to integration module, initialization module, inconsistent adjusting module, the second compensating module and
Self-tuning System module.
2. electric quantity of lithium battery intelligence estimation system as claimed in claim 1, it is characterised in that the sensor group includes：With
In obtaining in lithium battery/lithium battery group running by the voltage sensor of voltage data information, for obtaining lithium battery/lithium electricity
It is the current sensor of current data information in the group running of pond, warm in lithium battery/lithium battery group running for obtaining
The temperature sensor of degrees of data information.
3. the electric quantity of lithium battery intelligence estimation system as described in right wants 1 or 2, it is characterised in that the first compensating module bag
Include：Charge rate compensating module, discharge rate compensating module and temperature compensation module；The charge rate compensating module is used for lithium electricity
The charge rate of pond/battery pack compensates；The discharge rate compensating module is used to mend the discharge rate of lithium battery/battery pack
Repay；The temperature compensation module is used to compensate the temperature of lithium battery/battery pack；The charge rate compensating module, electric discharge
Signal is connected to arithmetic processor respectively for rate compensating module and temperature compensation module.
4. electric quantity of lithium battery intelligence estimation system as claimed in claim 3, it is characterised in that the second compensating module bag
Include：The self discharge compensating module compensated for the self discharge to lithium battery/battery pack；For to lithium battery/battery pack
The compensation of ageing module that aging compensates；Signal is connected to computing respectively for the self discharge compensating module and compensation of ageing module
Processor.
5. electric quantity of lithium battery intelligence estimation system as claimed in claim 4, it is characterised in that the Self-tuning System module be used for pair
System carries out Self-tuning System；The inconsistent influence that the inconsistent adjusting module is used in removal system；The initialization module is used
Initialized in system.
6. a kind of electricity intelligence estimation method that the electric quantity of lithium battery intelligence estimation system described in one of 1 to 5 is wanted based on right, its
It is characterised by, the described method comprises the following steps：
Step 1：Initialization module initializes to system；
Step 2：Sensor group obtains the voltage, electric current and temperature data information of lithium battery/lithium battery group in real time；By the number of acquisition
It is believed that breath is sent respectively to the first compensating module and model building module；
Step 3：Model building module is according to the model of lithium battery/lithium battery group of foundation, by the voltage, electric current and temperature of acquisition
Data message carries out adaptive processes；Then the data message after adaptive processes is sent to integration module；
Step 4：Integration module carries out Integral Processing to the data message received, and the data message after processing is sent into computing
Processor；First compensating module compensates the voltage received, electric current and temperature data information, by the number after compensation
It is believed that breath is sent to arithmetic processor；
Step 5：Meanwhile second compensating module compensation of ageing is carried out to lithium battery/lithium battery group and self discharge compensates, after compensation
As a result arithmetic processor is sent back；
Step 6：Self-tuning System module carries out real-time Self-tuning System processing to system；Place of the inconsistent adjusting module to arithmetic processor
Manage result and carry out inconsistent adjustment.
7. the electricity intelligence estimation method of electric quantity of lithium battery intelligence estimation system as claimed in claim 6, it is characterised in that institute
Stating the method that the first compensating module compensates to discharge rate includes step：
Step 1：A reference current is provided, when calculating electricity, the electricity conversion that other discharge currents are released is arrived with reference to mark
The electricity that quasi- electric current is put, to eliminate different discharge currents to error caused by charge value calculating；
Step 2：The model of discharging compensation is established, the model of discharging compensation is obtained according to equation below：
；Wherein, I is discharge current；T is discharge time；N is constant relevant with battery types；K is and active material
Measure relevant constant；
Step:3：Two kinds of discharge rates are discharged, arrive equation below：
；
；
According to above-mentioned formula, n values and k values can be calculated, finally give the capacity under any discharge rate.
8. the electricity intelligence estimation method of electric quantity of lithium battery intelligence estimation system as claimed in claim 7, it is characterised in that institute
State the second compensating module is to the method for lithium battery/lithium battery progress compensation of ageing：
Step 1：Defining senescence-factor is：；Wherein, whereinIt is reference battery capacity, exists for battery capacity
Battery maximum capacity during whole use；For in the battery capacity of a certain aging point, it is by battery-end in aging course
Voltage and battery capacity relation curve determine；
Step 2：Obtaining final electricity calculating change type is：
；
Wherein,For it is no progress compensation of ageing charge value,For the value after compensation of ageing.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111976542A (en) * | 2020-09-01 | 2020-11-24 | 广东高标电子科技有限公司 | SOC estimation method and device for lead-acid battery of electric vehicle |
| CN114660462A (en) * | 2022-03-03 | 2022-06-24 | 武汉蓝星科技股份有限公司 | Battery electric quantity detection method and system based on cloud data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101359036A (en) * | 2007-07-31 | 2009-02-04 | 比亚迪股份有限公司 | Method for measuring state of charge of battery |
| US20110172939A1 (en) * | 2010-01-08 | 2011-07-14 | Sandip Uprety | System and Method to Determine an Internal Resistance and State of Charge, State of Health, or Energy Level of a Rechargeable Battery |
| CN102162836A (en) * | 2011-03-21 | 2011-08-24 | 浙江吉利汽车研究院有限公司 | Estimation method of vehicle battery stress optical coefficient (SOC) |
| CN102496981A (en) * | 2011-12-02 | 2012-06-13 | 郑州宇通客车股份有限公司 | Method for estimating and revising state of charge (SOC) in battery management system of electric vehicle |
| CN102761141A (en) * | 2011-04-25 | 2012-10-31 | 中国科学院上海微系统与信息技术研究所 | Electric quantity correction and control method of lithium ion power storage battery |
| CN104198947A (en) * | 2014-09-02 | 2014-12-10 | 奇瑞汽车股份有限公司 | System and method for estimating surplus capacity of lithium ion battery |
-
2016
- 2016-11-28 CN CN201611059970.4A patent/CN107703451A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101359036A (en) * | 2007-07-31 | 2009-02-04 | 比亚迪股份有限公司 | Method for measuring state of charge of battery |
| US20110172939A1 (en) * | 2010-01-08 | 2011-07-14 | Sandip Uprety | System and Method to Determine an Internal Resistance and State of Charge, State of Health, or Energy Level of a Rechargeable Battery |
| CN102162836A (en) * | 2011-03-21 | 2011-08-24 | 浙江吉利汽车研究院有限公司 | Estimation method of vehicle battery stress optical coefficient (SOC) |
| CN102761141A (en) * | 2011-04-25 | 2012-10-31 | 中国科学院上海微系统与信息技术研究所 | Electric quantity correction and control method of lithium ion power storage battery |
| CN102496981A (en) * | 2011-12-02 | 2012-06-13 | 郑州宇通客车股份有限公司 | Method for estimating and revising state of charge (SOC) in battery management system of electric vehicle |
| CN104198947A (en) * | 2014-09-02 | 2014-12-10 | 奇瑞汽车股份有限公司 | System and method for estimating surplus capacity of lithium ion battery |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111976542A (en) * | 2020-09-01 | 2020-11-24 | 广东高标电子科技有限公司 | SOC estimation method and device for lead-acid battery of electric vehicle |
| CN114660462A (en) * | 2022-03-03 | 2022-06-24 | 武汉蓝星科技股份有限公司 | Battery electric quantity detection method and system based on cloud data |
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