CN108549032A - A kind of evaluation method of cell health state SOH - Google Patents
A kind of evaluation method of cell health state SOH Download PDFInfo
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Abstract
The present invention discloses a kind of evaluation method of cell health state SOH, includes the following steps：The rated capacity of battery core under current environment is obtained by temperature and charge-discharge magnification；Calculate the SOC value of current battery core；Obtain corresponding cycles left number；Obtain the currently available maximum capacity of battery core；Obtain resistance R when battery core end-of-lifeEOLInternal resistance value when dispatching from the factory with battery core；The true internal resistance of battery core is calculated according to Order RC ring model；Calculate i-th of battery cell health status of current time；I-th of battery cell health status SOH of current timeiAveraging filter, which is rolled, by one is filtered calculating；Obtain the nominal available discharge electricity amount in battery system life cycle；Calculate battery system health status SOH.The parameter that the present invention combines two levels of battery cell and battery system carries out the estimation of cell health state, and the influence factors such as temperature, cycle-index, internal resistance are considered in estimating state of health of battery, keeps estimation result more acurrate.
Description
Technical field
The invention belongs to technical field of new energy, and in particular to a kind of evaluation method of cell health state SOH.
Background technology
Pure electric automobile has the advantages that low stain and high performance, has become the Main way of contemporary automotive development,
It has very important significance so carrying out R and D to pure electric automobile key technology.Entire car controller, motor control
The three big electricity of device, battery management system as pure electric automobile electric-control system, it has also become one of electric vehicle engineering important to grind
Study carefully content.Battery management system implements charge and discharge protecting, working condition detection and battery pack balancing function etc. to battery system, leads to
It crosses specific algorithm and realizes software and hardware protection and balancing energy.
In the numerous monitoring parameter of battery management system, cell health state (SOH) is wherein mostly important parameter
One of.The appraisal procedure precision of power battery of pure electric automobile health status is not high at present, and the factor of consideration is single, and lacks real
The problem of when property.The safety of power system of electric automobile and usage time and battery SOH are closely related.According to ieee standard
Regulation in 1188-1996, when battery after a period of use, capacity when battery is fully charged is less than battery rated capacity
After 80%, battery should be just replaced.The performance degradation of aged battery, and be easy to cause various safety problems.If energy
Accurate estimating state of health of battery reminds people more to renew battery in time, and generation can not be pre- during avoiding aged battery use
The safety problem known, while can also avoid more renewing the wasting of resources caused by battery too early.
Invention content
The object of the present invention is to provide a kind of evaluation methods of cell health state SOH, to solve present battery health shape
State SOH evaluation method precision is low, Consideration is single and the problem of cannot meeting real-time.
To achieve the goals above, the evaluation method of a kind of cell health state SOH provided by the invention, specifically includes step
It is rapid as follows：
1) the rated capacity C of battery core under current environment is obtained by temperature and charge-discharge magnification0；
2) the SOC value SOC of current battery core is calculatedEKF；
3) the SOC value SOC in battery management system EEPROM is readEEPROM, obtain corresponding cycles left number；
4) current battery core temperature is obtained, by combining Current Temperatures and corresponding cycles left number, it is current to obtain battery core
Maximum capacity C can be used；
5) resistance R when battery core end-of-life is obtained according to current battery core temperatureEOLInternal resistance value R when dispatching from the factory with battery coreNEW；
6) the true internal resistance R of battery core is calculated according to Order RC ring model；
7) i-th of battery cell health status SOH of current time is calculatedi；
8) i-th of battery cell health status SOH of current timeiAveraging filter, which is rolled, by one is filtered meter
It calculates, prevents battery cell health status SOHiThe mutation of value obtains i-th of battery cell health shape after current time filtering
State SOHi_new_filter；
9) current total discharge electricity amount Q in battery management system EEPROM is read, and is obtained in battery system life cycle
Nominal available discharge electricity amount Q0；
10) battery system health status SOH is calculated.
The SOC value SOC of current battery core is calculated in the step 2) by expanded Kalman filtration algorithm EKFEKF。
The SOC value SOC in battery management system EEPROM is read in the step 3)EEPROM, obtain corresponding cycles left
The method of number is, if │ SOCEKF-SOCEEPROM│ >=90% is then judged as a deep discharge, corresponding cycles left number
1 is reduced, otherwise, corresponding cycles left number reduces k, k=90%/│ SOCEKF-SOCEEPROM│, k are judgement factor.
The computational methods for calculating the true internal resistance R of battery core in the step 6) according to Order RC ring model are R=Re+Rl+
Rs, wherein ReIt is the ohmic internal resistance of battery, real-time value, R is calculated by expanded Kalman filtration algorithm EKFlIndicate length
Effect polarization resistance, RsIt indicates short-acting and answers polarization resistance, Rl+RsIndicate the polarization resistance of battery.
The method that i-th of battery cell health status of current time is calculated in the step 7) is as follows：
SOHi=wC/C0+(1-W)(REOL-R)/(REOL-RNEW)
Wherein, w is weighting coefficient, REOLIndicate battery core end-of-life internal resistance, RNEWIndicate internal resistance when battery core manufacture.
I-th of battery cell health status SOH after current time filtering is obtained in the step 8)i_new_filter's
Method is as follows：
SOHi_new_filter=[tsample/(tsample+tc)]×(SOHi_new-SOHi_old_filter)+SOHi_old_filter
Wherein, tsampleFor sampling time, tcTo roll the time constant filter of filter.SOHi_old_filterIt is adopted for upper one
I-th of battery cell health status after the filtering of sample moment, SOHi_newThere is no filtered i-th of battery for current time
Monomer health status, SOHi_new_filterBe it is current it is filtered after i-th of battery cell health status.
The method that battery system health status SOH is calculated in the step 10) is as follows：
SOH=a × min [SOH1_new_filter, SOH2_new_filter... ..., SOHn_new_filter]+(1-a)(Q0-Q)/Q0
Wherein, a is weighting coefficient, and n is battery core quantity, min [SOH1_new_filter, SOH2_new_filter... ...,
SOHn_new_filter] represent the minimum value for taking health status in all monomers, SOH1_new_filter, SOH2_new_filter... ...,
SOHn_new_filterIndicate the 1st, 2 ... ..., n battery cell health status.
It is provided by the invention, it has the advantages that.
1. the present invention combines the estimation of the parameter progress cell health state of two levels of battery cell and battery system.
2. the present invention considered in estimating state of health of battery temperature, cycle-index, internal resistance, capacity, charge-discharge magnification,
The influence factors such as depth of discharge make the factor considered when estimation more fully, and the result of estimation is more accurate.
3 life cycle data invention introduces battery cell under various circumstances.
Description of the drawings
Fig. 1 is the flow diagram of the evaluation method of cell health state SOH provided by the invention.
Specific implementation mode
The present invention provides a kind of evaluation method of cell health state SOH, considers the factors for influencing battery life, than
Such as：Temperature, internal resistance, capacity, charge-discharge magnification, depth of discharge etc. introduce lifetime data of the battery core in whole life cycle
With internal resistance data, the advantages of in combination with internal resistance Commutation Law and capacity definition method and EKF Extended Kalman filter calculates SOC
With the real time characteristic of ohmic internal resistance, and by carrying out dual assessment in battery core level and system level, realize to battery SOH
In high precision, the assessment of real-time.
The present invention provides a kind of evaluation method of cell health state SOH, as shown in Figure 1, specifically including, steps are as follows：
1) the temperature value T and current parameters I that battery core is obtained by PACK inner sensors, using the temperature value T of battery core as defeated
Enter temperature；The current flow parameter I of battery core is converted into corresponding charge-discharge magnification.It is tabled look-up by temperature and charge-discharge magnification
(table is the rated capacity table under different temperatures, charge-discharge magnification, it is known that generally being provided by battery core producer) obtains working as front ring
The rated capacity C of battery core under border0。
2) " SOC value of current battery core " is calculated by expanded Kalman filtration algorithm EKF：SOCEKF。
3) battery management system " SOC value in EEPROM " is read：SOCEEPROMIf │ SOCEKF-SOCEEPROM│ >=90%,
Then it is judged as that a deep discharge, corresponding cycles left number reduce 1, otherwise, corresponding cycles left number reduces k (k ＜
1), k=90%/│ SOCEKF-SOCEEPROM│, k are judgement factor.
4) current battery core temperature is obtained, by combining Current Temperatures and corresponding cycles left number, tables look-up and obtains battery core
Currently available maximum capacity C.
5) according to current battery core temperature, table look-up (table be different temperatures under battery core end-of-life when internal resistance table,
Know, generally provided by battery core producer) obtain battery core end-of-life when resistance REOLInternal resistance value R when dispatching from the factory with battery coreNEW。
6) according to Order RC ring model, the true internal resistance R of battery core is calculated：
R=Re+Rl+Rs
Wherein, ReIt is the ohmic internal resistance of battery, real-time value can be calculated by expanded Kalman filtration algorithm EKF.Rl
With RsAnd polarization resistance for battery, R is found out by parameter identificationl+RsValue.RlIndicate long effect polarization resistance (Order RC
Model parameter)；RsIt indicates short-acting and answers polarization resistance (Order RC model parameter).
7) i-th of battery cell health status SOH of current time is calculated according to following formulai：
SOHi=wC/C0+(1-W)(REOL-R)/(REOL-RNEW)
Wherein, REOLIndicate battery core end-of-life internal resistance, RNEWIndicate internal resistance when battery core manufacture, w is weighting coefficient, should be added
Weight coefficient can be obtained by experiment, or be provided by battery core producer, and knot is calculated for " capacity method SOH " and " internal resistance method SOH "
The accounting of fruit, initial stage can be with values for 0.5.
8) i-th of battery cell health status SOH of current timeiAveraging filter, which is rolled, by one is filtered meter
It calculates, prevents battery cell health status SOHiThe mutation of value obtains i-th of battery cell health shape after current time filtering
State SOHi_new_filter:
SOHi_new_filter=[tsample/(tsample+tc)]×(SOHi_new-SOHi_old_filter)+SOHi_old_filter
In above formula, tsampleFor sampling time, tcTo roll the time constant filter of filter.SOHi_old_filterIt is upper one
I-th of battery cell health status (voltage value) after sampling instant filtering, SOHi_newIt is not filtered for current time
I-th of battery cell health status (voltage value), SOHi_new_filterBe it is current it is filtered after i-th of battery cell
Health status (voltage value).
9) current total discharge electricity amount Q in battery management system EEPROM is read, and is obtained in battery system life cycle
Nominal available discharge electricity amount Q0(it is known that generally being provided by battery core producer).
10) battery system health status SOH is calculated as follows, and wherein n is battery core quantity：
SOH=a × min [SOH1_new_filter, SOH2_new_filter... ..., SOHn_new_filter]+(1-a)(Q0-Q)/Q0On
In formula, a is weighting coefficient, can be obtained by experiment, is " monomer SOH " and " calculating gained SOH according to PACK discharge capacities " meter
Result accounting is calculated, initial stage can be with value for 0.5.
min[SOH1_new_filter, SOH2_new_filter... ..., SOHn_new_filter] represent take health status in all monomers
Minimum value.
SOH1_new_filter, SOH2_new_filter... ..., SOHn_new_filterIndicate the 1st, 2 ... ..., n battery cell is strong
Health state.
Specific case used herein elaborates inventive concept, the explanation of above example is only intended to
Help understands core of the invention thought.It should be pointed out that for those skilled in the art, not departing from this
Under the premise of inventive concept, any obvious modification, equivalent replacement or the other improvements made should be included in the present invention
Protection domain within.
Claims (7)
1. a kind of evaluation method of cell health state SOH, which is characterized in that specifically include that steps are as follows：
1) the rated capacity C of battery core under current environment is obtained by temperature and charge-discharge magnification0；
2) the SOC value SOC of current battery core is calculatedEKF；
3) the SOC value SOC in battery management system EEPROM is readEEPROM, obtain corresponding cycles left number；
4) current battery core temperature is obtained, by combining Current Temperatures and corresponding cycles left number, it is currently available to obtain battery core
Maximum capacity C；
5) resistance R when battery core end-of-life is obtained according to current battery core temperatureEOLInternal resistance value R when dispatching from the factory with battery coreNEW；
6) the true internal resistance R of battery core is calculated according to Order RC ring model；
7) i-th of battery cell health status SOH of current time is calculatedi；
8) i-th of battery cell health status SOH of current timeiAveraging filter is rolled by one and is filtered calculating, is obtained
I-th of battery cell health status SOH after being filtered to current timei_new_filter；
9) current total discharge electricity amount Q in battery management system EEPROM is read, and obtains the mark in battery system life cycle
Title can use discharge electricity amount Q0；
10) battery system health status SOH is calculated.
2. the evaluation method of cell health state SOH according to claim 1, which is characterized in that lead in the step 2)
Cross the SOC value SOC that expanded Kalman filtration algorithm EKF calculates current battery coreEKF。
3. the evaluation method of cell health state SOH according to claim 1, which is characterized in that read in the step 3)
Take the SOC value SOC in battery management system EEPROMEEPROM, the method for obtaining corresponding cycles left number is, if │ SOCEKF-
SOCEEPROM│ >=90% is then judged as that a deep discharge, corresponding cycles left number reduce 1, and otherwise, corresponding residue is followed
Ring number reduces k, k=90%/│ SOCEKF-SOCEEPROM│, k are judgement factor.
4. the evaluation method of cell health state SOH according to claim 1, which is characterized in that root in the step 6)
The computational methods that the true internal resistance R of battery core is calculated according to Order RC ring model are R=Re+Rl+Rs, wherein ReIt is in ohm of battery
Resistance, real-time value, R are calculated by expanded Kalman filtration algorithm EKFlIndicate long effect polarization resistance, RsIt indicates short-acting to answer
Polarization resistance, Rl+RsIndicate the polarization resistance of battery.
5. the evaluation method of cell health state SOH according to claim 1, which is characterized in that the step 7) is fallen into a trap
The method for calculating i-th of battery cell health status of current time is as follows：
SOHi=wC/C0+(1-W)(REOL-R)/(REOL-RNEW)
Wherein, w is weighting coefficient, REOLIndicate battery core end-of-life internal resistance, RNEWIndicate internal resistance when battery core manufacture.
6. the evaluation method of cell health state SOH according to claim 1, which is characterized in that in the step 8)
I-th of battery cell health status SOH after being filtered to current timei_new_filterMethod it is as follows：
SOHi_new_filter=[tsample/(tsample+tc)]×(SOHi_new-SOHi_old_filter)+SOHi_old_filter
Wherein, tsampleFor sampling time, tcTo roll the time constant filter of filter.SOHi_old_filterWhen being sampled for upper one
Carve i-th of battery cell health status after filtering, SOHi_newThere is no filtered i-th of battery cell for current time
Health status, SOHi_new_filterBe it is current it is filtered after i-th of battery cell health status.
7. the evaluation method of cell health state SOH as claimed in any of claims 1 to 6, which is characterized in that institute
The method for stating calculating battery system health status SOH in step 10) is as follows：
SOH=a × min [SOH1_new_filter, SOH2_new_filter... ..., SOHn_new_filter]+(1-a)(Q0-Q)/Q0
Wherein, a is weighting coefficient, and n is battery core quantity, min [SOH1_new_filter, SOH2_new_filter... ...,
SOHn_new_filter] represent the minimum value for taking health status in all monomers, SOH1_new_filter, SOH2_new_filter... ...,
SOHn_new_filterIndicate the 1st, 2 ... ..., n battery cell health status.
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| CN109541473A (en) * | 2018-10-18 | 2019-03-29 | 东北电力大学 | Lead carbon battery health status evaluation method based on discharge capacity weighted accumulation |
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| CN117406125B (en) * | 2023-12-15 | 2024-02-23 | 山东派蒙机电技术有限公司 | Battery health state confirmation method, device, equipment and storage medium |
| CN117541334A (en) * | 2024-01-04 | 2024-02-09 | 深圳海辰储能科技有限公司 | Value evaluation method and related device of energy storage equipment |
| CN117541334B (en) * | 2024-01-04 | 2024-04-23 | 深圳海辰储能科技有限公司 | Value evaluation method and related device of energy storage equipment |
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Application publication date: 20180918 |