CN110261790A - Predictor method, the apparatus and system of cell health state - Google Patents

Predictor method, the apparatus and system of cell health state Download PDF

Info

Publication number
CN110261790A
CN110261790A CN201910284139.6A CN201910284139A CN110261790A CN 110261790 A CN110261790 A CN 110261790A CN 201910284139 A CN201910284139 A CN 201910284139A CN 110261790 A CN110261790 A CN 110261790A
Authority
CN
China
Prior art keywords
battery
decaying
life
health state
calendar
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN201910284139.6A
Other languages
Chinese (zh)
Inventor
高欢
杨洸
陈鹏
魏晓航
盖亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Hyperstrong Technology Co Ltd
Original Assignee
Beijing Hyperstrong Technology Co Ltd
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 Beijing Hyperstrong Technology Co Ltd filed Critical Beijing Hyperstrong Technology Co Ltd
Priority to CN201910284139.6A priority Critical patent/CN110261790A/en
Publication of CN110261790A publication Critical patent/CN110261790A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367Software therefor, e.g. for battery testing using modelling or look-up tables
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The present invention provides a kind of predictor method of cell health state, apparatus and system, this method, comprising: obtains the parameter of battery;According to the battery parameter, the calendar life decaying and cycle life decaying of the battery are calculated;According to the decaying of the calendar life of the battery and cycle life decaying, the current health state of the battery is estimated.The current health state of the present invention realizes more accurate, convenient preestimating battery, can apply in battery management system, can the health status to battery accurately and real-time estimated.

Description

Predictor method, the apparatus and system of cell health state
Technical field
The present invention relates to technical field of lithium batteries more particularly to a kind of predictor method of cell health state, device and it is System.
Background technique
With information technology, the continuous development of new energy technology, demand of the daily life to battery also becomes increasingly conspicuous, battery The research of performance is also concerned.Lithium battery because have energy density is big, output power is high, pollution-free, operating temperature range is wide, The advantages that self discharge is small is more and more widely used in electric car field.
The service performance of battery can be deteriorated with the intensification of battery usage degree, therefore more next to the research of battery life It is more important.Wherein, cell health state (state of health, SOH), the also referred to as service life state of battery are characterization batteries The parameter of health status.Typically, cell health state includes point of battery cycle life and calendar life.
The service life of current battery was up to as long as the several years, and causing test to occupy, resource is more, and the verification test period is long, so that There are many uncertainties for the cell health state data of test.
Summary of the invention
The present invention provides a kind of predictor method of cell health state, apparatus and system, and it is more accurate, convenient to realize The current health state of preestimating battery, and realize in battery management system, the electricity with more high accuracy is estimated in real time Pond current health state.
In a first aspect, the embodiment of the present invention provides a kind of predictor method of cell health state, comprising:
Obtain battery parameter;
According to the battery parameter, the calendar life decaying and cycle life decaying of the battery are calculated;
According to the decaying of the calendar life of the battery and cycle life decaying, the current health state of the battery is estimated.
In a kind of possible design, the acquisition battery parameter, comprising:
The battery parameter is obtained according to known battery parameter table, or is obtained according to the matched curve that experimental data obtains Take the battery parameter.
In a kind of possible design, when the battery parameter includes: battery calendar life rate of decay, battery storage Between, the battery electric energy, battery rated power, cell health state, circulating battery number and the circulating battery before charging that are filled with Life time decay table.
It is described according to battery parameter in a kind of possible design, calculate the calendar life decaying of the battery, comprising:
According to battery calendar life rate of decay and Battery storage time, the calendar life decaying of the battery is calculated.
It is described according to battery parameter in a kind of possible design, calculate the cycle life decaying of the battery, comprising:
Cell health state, circulating battery number before the electric energy that is filled with according to battery, battery rated power, charging and Battery cycle life attenuation meter calculates the cycle life decaying of the battery.
In a kind of possible design, decayed according to the decaying of the calendar life of the battery and cycle life, is estimated described The current health state of battery, comprising:
The calendar life decaying and cycle life decaying that the initial health of battery is subtracted to the battery, obtain described The current health state of battery.
Second aspect, the embodiment of the present invention provide a kind of device that cell health state is estimated, comprising:
Module is obtained, for obtaining battery parameter;
Processing module, for according to the battery parameter, the calendar life decaying and cycle life for calculating the battery to decline Subtract;
Module is estimated, for decaying according to the decaying of the calendar life of the battery and cycle life, estimates the battery Current health state.
In a kind of possible design, the acquisition module is specifically used for:
The battery parameter is obtained according to known battery parameter table, or is obtained according to the matched curve that experimental data obtains Take the battery parameter.
In a kind of possible design, when the battery parameter includes: battery calendar life rate of decay, battery storage Between, the battery electric energy, battery rated power, cell health state, circulating battery number and the circulating battery before charging that are filled with Life time decay table.
In a kind of possible design, the processing module is specifically used for: according to battery calendar life rate of decay and electricity Pond storage time calculates the calendar life decaying of the battery.
In a kind of possible design, the processing module is also used to: the specified electricity of electric energy, battery being filled with according to battery Cell health state, circulating battery number and battery cycle life attenuation meter before capable of, charging, calculate the circulation of the battery Life time decay.
It is described to estimate module in a kind of possible design, it is specifically used for:
The calendar life decaying and cycle life decaying that the initial health of battery is subtracted to the battery, obtain described The current health state of battery.
The third aspect, the embodiment of the present invention provide a kind of Prediction System of cell health state, comprising: memory and processing Device is stored with the executable instruction of the processor in memory;Wherein, the processor is configured to hold via described in execution Row instructs to execute the predictor method of cell health state described in any one of first aspect.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, are stored thereon with computer program, It is characterized in that, realizing the side of estimating of the described in any item cell health states of first aspect when the program is executed by processor Method.
The present invention provides a kind of predictor method of cell health state, apparatus and system, this method, comprising: obtains battery Parameter;According to the battery parameter, the calendar life decaying and cycle life decaying of the battery are calculated;According to the battery Calendar life decaying and cycle life decaying, estimate the current health state of the battery.That the present invention realizes is more accurate, The current health state of convenient preestimating battery, can apply in battery management system, can health status to battery into Row is accurately and real-time estimated.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair Bright some embodiments for those of ordinary skill in the art without any creative labor, can be with It obtains other drawings based on these drawings.
Fig. 1 is the schematic diagram of an application scenarios of the invention;
Fig. 2 is the flow chart of the predictor method for the cell health state that the embodiment of the present invention one provides;
Fig. 3 is one fitting parameter curve synoptic diagram of the embodiment of the present invention;
Fig. 4 is the structural schematic diagram of the estimating device of cell health state provided by Embodiment 2 of the present invention;
Fig. 5 is the structural schematic diagram of the Prediction System for the cell health state that the embodiment of the present invention three provides.
Through the above attached drawings, it has been shown that the specific embodiment of the disclosure will be hereinafter described in more detail.These attached drawings It is not intended to limit the scope of this disclosure concept by any means with verbal description, but is by referring to specific embodiments Those skilled in the art illustrate the concept of the disclosure.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
Description and claims of this specification and term " first ", " second ", " third " " in above-mentioned attached drawing The (if present)s such as four " are to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should manage The data that solution uses in this way are interchangeable under appropriate circumstances, so that the embodiment of the present invention described herein for example can be to remove Sequence other than those of illustrating or describe herein is implemented.In addition, term " includes " and " having " and theirs is any Deformation, it is intended that cover it is non-exclusive include, for example, containing the process, method of a series of steps or units, system, production Product or equipment those of are not necessarily limited to be clearly listed step or unit, but may include be not clearly listed or for this A little process, methods, the other step or units of product or equipment inherently.
Technical solution of the present invention is described in detail with specifically embodiment below.These specific implementations below Example can be combined with each other, and the same or similar concept or process may be repeated no more in some embodiments.
Fig. 1 is the schematic diagram of an application scenarios of the invention, comprising: battery 11 and battery Prediction System 12, battery, which is estimated, is System 12 obtains the battery parameter of battery 11, according to above-mentioned battery parameter, calculates the calendar life decaying and cycle life of battery 12 Decaying, and then estimate the current health state of the battery.The present embodiment may be implemented to carry out more the current health state of battery Add and accurately, easily estimates.When applying in battery management system, the current health state of acceptable preestimating battery in real time.
It should be noted that the battery in the present embodiment refers to lithium battery.In an alternative embodiment, this implementation Example can obtain battery parameter in charge-discharge performance test shelving respectively using lithium battery, wherein lithium battery include: lithium from Sub- battery, poly-lithium battery, ternary lithium battery, ferric phosphate lithium cell, mangaic acid lithium iron battery, nickel cobalt lithium battery etc..This reality The method in example is applied, the LiFePO4 electricity for being particularly suitable for the high ternary lithium battery of specific energy, having extended cycle life, having a safety feature Pond.In an alternative embodiment, the lithium battery that the present invention uses can also be single battery or series-parallel battery.
How to be solved with technical solution of the specifically embodiment to technical solution of the present invention and the application below above-mentioned Technical problem is described in detail.These specific embodiments can be combined with each other below, for the same or similar concept Or process may repeat no more in certain embodiments.Below in conjunction with attached drawing, the embodiment of the present invention is described.
Fig. 2 is the flow chart of the predictor method for the cell health state that the embodiment of the present invention one provides, as shown in Fig. 2, this Method in embodiment may include:
S101, battery parameter is obtained.
In the present embodiment, battery Prediction System obtains battery parameter, and the calendar life to calculate battery is decayed and circulation Life time decay.Battery parameter may include: electric energy, the electricity that battery calendar life rate of decay, Battery storage time, battery are filled with Cell health state, circulating battery number and battery cycle life attenuation meter before pond rated power, charging.
The calendar life of battery refers to due date being calendar life from production, can be that metering is single with year Position, shelves procedural test link including battery.
Battery cycle life refers to that (for example discharge current, discharge environment temperature, electric discharge are cut in certain charge/discharge system Only voltage etc.) under, battery capacity decays to before a certain specified value (being typically the 80% of rated capacity), and battery is amenable to Charge/discharge cycles.
Cell health state (state of health, SOH), battery is from fully charged state with certain at the standard conditions The ratio of capacity and the nominal capacity corresponding to it that multiplying power discharging is released to blanking voltage, the ratio have reacted the longevity of battery Life situation.
Specifically, battery rated power can be obtained ahead of time from battery factory explanation or obtain from experiment test.Electricity Pond calendar life rate of decay can be obtained according to known battery parameter table (such as battery calendar life table).A kind of optional In embodiment, with reference to the following table 1, when battery is under 25 DEG C of storage temperatures, stores state of charge SOC=0.8125, battery is obtained Calendar life rate of decay≤3%/monthly;Or according to battery storage temperature, storage when battery state of charge (SOC, State of Charge) and storage time relationship, parameter curve is fitted, and then be based on the parameter curve, according to the battery Battery calendar life rate of decay can be obtained in real-time storage temperature and storage SOC.For example, battery calendar life rate of decay Fitting parameter relational expression is Q (t)=0.009328*t1.3535
Table 1
Circulating battery number can be obtained according to known battery parameter table (such as battery cycle life attenuation meter).In one kind In optional embodiment, according to specific charging temperature, charging current, the SOC being charged into variable quantity, can table look-up and obtain electricity The cycle-index of pond under this condition.For example, see table 1, when battery is under 25 DEG C of storage temperatures, state of charge SOC=is stored When 0.8334, obtaining corresponding cycle-index when battery capacity conservation rate is 80% is 500 times.
Or temperature, depth of discharge (DOD, the depth of of battery are used according to circulating battery number and battery Discharge the relationship between) fits the relationship between them, obtains cycle-index according to specific charge condition.
In an alternative embodiment, it is tested according to the charge-discharge performance of different cycle-indexes, records different circulations time Voltage, capacitor and the relation curve of time of several charging processes calculate and obtain voltage increase section (example in battery charging process Such as, voltage is the corresponding capacitance change, Δ C of 4.15V) by 3.95V variation, and then according to circulating battery number and corresponding capacity Changes delta C is fitted to obtain linear relationship curve, as shown in figure 3, according to curve linear relational expression: y=-0.1x+667.55 is obtained Battery capacity conservation rate when being 80% corresponding cycle life be 1000 times.
In an alternative embodiment, due in battery charging process electric current it is steady, so utilizing battery charge data The high-precision of data of acquisition can be guaranteed by calculating battery cycle life decaying.
It should be noted that the present embodiment, which does not limit battery, obtains circulating battery number, ability in charging performance test The technical staff in domain can also can obtain circulating battery number in cell discharge performance test according to the actual situation to obtain more Good effect.
S102, according to battery parameter, calculate the calendar life decaying and cycle life decaying of battery.
Specifically, battery calendar life decaying (SOH_calendar_loss) is according to battery calendar rate of decay (SOH_ Calendar_loss_rate), Battery storage time (Storage_time) obtains, specific formula is as follows:
Battery calendar life decaying (SOH_calendar_loss)=battery calendar rate of decay (SOH_calendar_ Loss_rate) * Battery storage time (Storage_time).
In an alternative embodiment, battery calendar life decaying can be according to battery calendar life table research on utilization The state of charge of battery and storage time are calculated when the battery calendar life known, storage temperature, storage.Difference storage temperature In the case of degree, different state of charge, it is different to calculate battery calendar life rate of decay.For example, experiment test is in 10 DEG C of storage temperature Under degree, battery state of charge SOC=80%, battery shelve 4 weeks calendar rate of decay be 0.0102;For another example, experiment test exists Under 25 DEG C of storage temperatures, battery state of charge SOC=50%, battery shelve 10 weeks calendar rate of decay be 0.0083;Example again Such as, under 45 DEG C of storage temperatures, battery state of charge SOC=30%, the calendar rate of decay that battery is shelved 4 weeks is for experiment test 0.019。
Battery cycle life decaying according to specific charging temperature, charging current, the SOC being charged into variable quantity, such as table 2 It is shown, cycle charging experiment is carried out with 1C multiplying power at 25 DEG C of temperature and obtains the cycle-index of battery under this condition, in table 2 When Δ C is 665.89mAh, circulating battery number is 10.
Table 2
Specifically, battery in certain charging process caused by cycle life decaying (SOH_cycle_loss) can be from The ratio that battery is filled with the total electricity that can be filled with when electricity accounts for circulating battery under entire equal conditions to end-of-life obtains, tool Body formula is as follows:
That is circulating battery decaying=E (n)/Erate/SOH (n-1)/N (n)
Wherein, E (n): n-th is filled with energy when charging, and is multiplied and is calculated by voltage, electric current, time, unit Wh;
Erate: rated energy is obtained by rated capacity * voltage rating, and wherein rated capacity varies with temperature and changes, Unit is Wh;
The SOH of battery pack, unit %, initial value 100% after SOH (n-1): (n-1)th time charging;
N (n): n-th charge when, according to temperature obtain battery capacity to rated capacity 80% when cycle-index.
S103, decayed according to the decaying of the calendar life of battery and cycle life, the current health state of preestimating battery.
In an alternative embodiment, decayed according to the decaying of the calendar life of the battery of acquisition and cycle life, estimated The current health state of battery, specific formula for calculation are as follows:
The SOH of battery be equal to initial SOH (SOH_init) subtract calendar life decaying (SOH_calendar_loss) and Cycle life decays (SOH_cycle_loss).
That is SOH=SOH_init-SOH_calendar_loss-SOH_cycle_loss
For example, battery initial health SOH=100%, is calculated current battery calendar life and decays to 20%, Current battery cycle life decays to 30%, and estimating the current health status of the battery is 50%.
It should be noted that the present embodiment does not limit battery parameter type, those skilled in the art can be according to reality Situation increases or reduces battery parameter type.Meanwhile the present embodiment does not also limit the mode and content for obtaining battery parameter, this The technical staff in field can increase according to the actual situation or reduce the mode and content that obtain battery types.
The present embodiment, by obtaining battery parameter;According to battery parameter, calendar life decaying and the circulation longevity of battery are calculated Life decaying;According to the decaying of the calendar life of battery and cycle life decaying, the current health state of preestimating battery.To realize The current health state of more accurate, convenient preestimating battery, can apply in battery management system, can be good for battery Health state is accurately and real-time estimated.
Fig. 4 is the structural schematic diagram of the estimating device of cell health state provided by Embodiment 2 of the present invention;Such as Fig. 4 institute Show, the cell health state estimating device of the present embodiment may include:
Module 21 is obtained, for obtaining battery parameter;
Processing module 22, for calculating the calendar life decaying and cycle life decaying of battery according to battery parameter;
Module 23 is estimated, for decaying according to the decaying of the calendar life of battery and cycle life, the current of preestimating battery is good for Health state.
In a kind of possible design, module 21 is obtained, is specifically used for:
Battery parameter is obtained according to known battery parameter table, or electricity is obtained according to the matched curve that experimental data obtains Pond parameter.
In a kind of possible design, battery parameter includes: battery calendar life rate of decay, Battery storage time, electricity Cell health state, circulating battery number, battery cycle life decaying before electric energy that pond is filled with, battery rated power, charging Table.
In a kind of possible design, processing module 22 is specifically used for: according to battery calendar life rate of decay and battery Storage time calculates the calendar life decaying of battery.
In a kind of possible design, processing module 22 is also used to: the electric energy that is filled with according to battery, battery rated power, Cell health state, circulating battery number and battery cycle life attenuation meter, the cycle life for calculating battery before charging decline Subtract.
In a kind of possible design, module 23 is estimated, is specifically used for:
The calendar life decaying and cycle life decaying that the initial health of battery is subtracted to battery, obtain working as battery Preceding health status.
The present embodiment, by obtaining battery parameter;According to battery parameter, calendar life decaying and the circulation longevity of battery are calculated Life decaying;According to the decaying of the calendar life of battery and cycle life decaying, the current health state of preestimating battery.To realize The current health state of more accurate, convenient preestimating battery, can apply in battery management system, can be good for battery Health state is accurately and real-time estimated.
The cell health state estimating device of the present embodiment, can execute the technical solution in method shown in Fig. 2, specific Associated description in realization process and technical principle method shown in Figure 2, details are not described herein again.
Fig. 5 is the structural schematic diagram of the Prediction System for the cell health state that the embodiment of the present invention three provides, such as Fig. 5 institute Show, the Prediction System 30 of the cell health state of the present embodiment may include: processor 31 and memory 32.
Memory 32, for store computer program (such as realize above-mentioned cell health state predictor method application program, Functional module etc.), computer instruction etc.;
Above-mentioned computer program, computer instruction etc. can be with partitioned storages in one or more memories 32.And Above-mentioned computer program, computer instruction, data etc. can be called with device 31 processed.
Processor 31, for executing the computer program of the storage of memory 32, to realize method that above-described embodiment is related to In each step.
It specifically may refer to the associated description in previous methods embodiment.
Processor 31 and memory 32 can be absolute construction, be also possible to the integrated morphology integrated.Work as processing When device 31 and memory 32 are absolute construction, memory 32, processor 31 can be of coupled connections by bus 33.
The Prediction System of the cell health state of the present embodiment can execute the technical solution in method shown in Fig. 2, tool Body realizes the associated description in process and technical principle method shown in Figure 2, and details are not described herein again.
In addition, the embodiment of the present application also provides a kind of computer readable storage medium, deposited in computer readable storage medium Computer executed instructions are contained, when at least one processor of user equipment executes the computer executed instructions, user equipment Execute above-mentioned various possible methods.
Wherein, computer-readable medium includes computer storage media and communication media, and wherein communication media includes being convenient for From a place to any medium of another place transmission computer program.Storage medium can be general or specialized computer Any usable medium that can be accessed.A kind of illustrative storage medium is coupled to processor, to enable a processor to from this Read information, and information can be written to the storage medium.Certainly, storage medium is also possible to the composition portion of processor Point.Pocessor and storage media can be located in ASIC.In addition, the ASIC can be located in user equipment.Certainly, processor and Storage medium can also be used as discrete assembly and be present in communication equipment.
The application also provides a kind of program product, and program product includes computer program, and computer program is stored in readable In storage medium, at least one processor of server can read computer program from readable storage medium storing program for executing, at least one Reason device executes the cell health state predictor method that computer program makes the server implementation embodiments of the present invention.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above-mentioned each method embodiment can lead to The relevant hardware of program instruction is crossed to complete.Program above-mentioned can be stored in a computer readable storage medium.The journey When being executed, execution includes the steps that above-mentioned each method embodiment to sequence;And storage medium above-mentioned include: ROM, RAM, magnetic disk or The various media that can store program code such as person's CD.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations;To the greatest extent Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into Row equivalent replacement;And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution The range of scheme.

Claims (10)

1. a kind of predictor method of cell health state characterized by comprising
Obtain battery parameter;
According to the battery parameter, the calendar life decaying and cycle life decaying of the battery are calculated;
According to the decaying of the calendar life of the battery and cycle life decaying, the current health state of the battery is estimated.
2. the method according to claim 1, wherein the acquisition battery parameter, comprising:
The battery parameter is obtained according to known battery parameter table, or institute is obtained according to the matched curve that experimental data obtains State battery parameter.
3. the method according to claim 1, wherein the battery parameter includes: battery calendar life decaying speed Cell health state, circulating battery time before electric energy that rate, Battery storage time, battery are filled with, battery rated power, charging Number, battery cycle life attenuation meter.
4. calculating the calendar of the battery the method according to claim 1, wherein described according to battery parameter Life time decay, comprising:
According to battery calendar life rate of decay and Battery storage time, the calendar life decaying of the battery is calculated.
5. calculating the circulation of the battery the method according to claim 1, wherein described according to battery parameter Life time decay, comprising:
Cell health state, circulating battery number and battery before the electric energy that is filled with according to battery, battery rated power, charging Cycle life attenuation meter calculates the cycle life decaying of the battery.
6. method according to any one of claims 1-5, which is characterized in that decayed according to the calendar life of the battery Decay with cycle life, estimate the current health state of the battery, comprising:
The calendar life decaying and cycle life decaying that the initial health of battery is subtracted to the battery, obtain the battery Current health state.
7. a kind of estimating device of cell health state, which is characterized in that be applied to the battery as described in claim any one of 1-6 The predictor method of health status, described device include:
Module is obtained, for obtaining battery parameter;
Processing module, for calculating the calendar life decaying and cycle life decaying of the battery according to the battery parameter;
Module is estimated, for decaying according to the decaying of the calendar life of the battery and cycle life, estimates the current of the battery Health status.
8. device according to claim 7, which is characterized in that the battery parameter includes: battery calendar life decaying speed Cell health state, circulating battery time before electric energy that rate, Battery storage time, battery are filled with, battery rated power, charging Number, battery cycle life attenuation meter.
9. a kind of Prediction System of cell health state characterized by comprising memory and processor store in memory There is the executable instruction of the processor;Wherein, the processor is configured to carry out right of execution via the execution executable instruction Benefit requires the predictor method of cell health state described in any one of 1-6.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor The predictor method of cell health state of any of claims 1-6 is realized when execution.
CN201910284139.6A 2019-04-10 2019-04-10 Predictor method, the apparatus and system of cell health state Pending CN110261790A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910284139.6A CN110261790A (en) 2019-04-10 2019-04-10 Predictor method, the apparatus and system of cell health state

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910284139.6A CN110261790A (en) 2019-04-10 2019-04-10 Predictor method, the apparatus and system of cell health state

Publications (1)

Publication Number Publication Date
CN110261790A true CN110261790A (en) 2019-09-20

Family

ID=67913490

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910284139.6A Pending CN110261790A (en) 2019-04-10 2019-04-10 Predictor method, the apparatus and system of cell health state

Country Status (1)

Country Link
CN (1) CN110261790A (en)

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110850319A (en) * 2019-11-07 2020-02-28 北京海博思创科技有限公司 Method and device for estimating number of cycles of battery from water jumping point and electronic equipment
CN110901470A (en) * 2019-11-29 2020-03-24 安徽江淮汽车集团股份有限公司 Method, device and equipment for predicting service life of battery of electric vehicle and storage medium
CN110954830A (en) * 2019-11-26 2020-04-03 北京海博思创科技有限公司 Battery diving prediction method and device
CN111025155A (en) * 2019-12-18 2020-04-17 华南理工大学 Method for rapidly simulating power battery aging process based on battery dynamic aging model
CN111098756A (en) * 2019-12-05 2020-05-05 浙江合众新能源汽车有限公司 Electric automobile service life management method and system
CN111239630A (en) * 2020-03-09 2020-06-05 江苏中兴派能电池有限公司 Energy storage battery service life prediction method and management system
CN111562513A (en) * 2020-04-30 2020-08-21 汉腾新能源汽车科技有限公司 Power battery calendar life estimation method
CN112014736A (en) * 2020-08-21 2020-12-01 中国第一汽车股份有限公司 Battery life prediction method, device, equipment and storage medium
CN112259813A (en) * 2020-01-20 2021-01-22 蜂巢能源科技有限公司 Battery charging and discharging power determination method, system and equipment
CN112394291A (en) * 2020-11-05 2021-02-23 广州汽车集团股份有限公司 Battery thermal runaway early warning method and device
CN112595980A (en) * 2020-12-17 2021-04-02 北京海博思创科技股份有限公司 Method, device and equipment for predicting service life of battery energy storage system
CN112706652A (en) * 2020-12-31 2021-04-27 蜂巢能源科技有限公司 Electric vehicle V2G mode discharge capacity determination method and device and storage device
CN112757964A (en) * 2019-10-17 2021-05-07 郑州宇通客车股份有限公司 Hybrid vehicle parameter configuration method and computer readable medium
EP3842816A1 (en) * 2019-12-24 2021-06-30 China Lithium Battery Technology Co., Limited Soh estimation method of battery pack
CN113075557A (en) * 2021-05-20 2021-07-06 张家港清研检测技术有限公司 Vehicle owner self-adaptive power battery residual life prediction method
CN113281656A (en) * 2021-05-20 2021-08-20 北京现代汽车有限公司 Method and device for determining health degree of battery
CN113484783A (en) * 2021-05-31 2021-10-08 北京海博思创科技股份有限公司 Battery SOH detection method, device, system, medium and program product
CN114114051A (en) * 2021-11-25 2022-03-01 蜂巢能源科技有限公司 Method and device for determining battery aging value and electronic equipment
WO2022161002A1 (en) * 2021-01-27 2022-08-04 北京嘀嘀无限科技发展有限公司 Battery state of health prediction method and apparatus, and electronic device and readable storage medium
CN115877242A (en) * 2021-09-26 2023-03-31 比亚迪股份有限公司 Battery health state evaluation method, electronic equipment and readable storage medium
CN116930773A (en) * 2023-09-15 2023-10-24 杭州鹏成新能源科技有限公司 Lithium battery SOH estimation method and system
WO2023221587A1 (en) * 2022-05-16 2023-11-23 深圳市道通合创数字能源有限公司 Method for determining state of health of power battery of electric vehicle, and server
WO2024093269A1 (en) * 2022-10-31 2024-05-10 比亚迪股份有限公司 Battery state of health prediction method, electronic device, and readable storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103308864A (en) * 2013-07-09 2013-09-18 中国人民解放军国防科学技术大学 Method for estimating secondary cell SOH value and testing residual service life
CN103760493A (en) * 2014-01-17 2014-04-30 安徽江淮汽车股份有限公司 Detecting method and system for health state of extended-range electric vehicle power battery
US20150377976A1 (en) * 2010-05-21 2015-12-31 Qnovo Inc. Method and circuitry to adaptively charge a battery/cell using the state of health thereof
CN107202960A (en) * 2017-05-25 2017-09-26 安徽江淮汽车集团股份有限公司 Electrokinetic cell life-span prediction method
CN109407008A (en) * 2018-10-12 2019-03-01 安徽江淮汽车集团股份有限公司 A kind of modification method of electric car SOH

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150377976A1 (en) * 2010-05-21 2015-12-31 Qnovo Inc. Method and circuitry to adaptively charge a battery/cell using the state of health thereof
CN103308864A (en) * 2013-07-09 2013-09-18 中国人民解放军国防科学技术大学 Method for estimating secondary cell SOH value and testing residual service life
CN103760493A (en) * 2014-01-17 2014-04-30 安徽江淮汽车股份有限公司 Detecting method and system for health state of extended-range electric vehicle power battery
CN107202960A (en) * 2017-05-25 2017-09-26 安徽江淮汽车集团股份有限公司 Electrokinetic cell life-span prediction method
CN109407008A (en) * 2018-10-12 2019-03-01 安徽江淮汽车集团股份有限公司 A kind of modification method of electric car SOH

Cited By (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112757964A (en) * 2019-10-17 2021-05-07 郑州宇通客车股份有限公司 Hybrid vehicle parameter configuration method and computer readable medium
CN110850319B (en) * 2019-11-07 2021-12-07 北京海博思创科技股份有限公司 Method and device for estimating number of cycles of battery from water jumping point and electronic equipment
CN110850319A (en) * 2019-11-07 2020-02-28 北京海博思创科技有限公司 Method and device for estimating number of cycles of battery from water jumping point and electronic equipment
CN110954830A (en) * 2019-11-26 2020-04-03 北京海博思创科技有限公司 Battery diving prediction method and device
CN110901470A (en) * 2019-11-29 2020-03-24 安徽江淮汽车集团股份有限公司 Method, device and equipment for predicting service life of battery of electric vehicle and storage medium
CN111098756A (en) * 2019-12-05 2020-05-05 浙江合众新能源汽车有限公司 Electric automobile service life management method and system
CN111025155B (en) * 2019-12-18 2021-09-21 华南理工大学 Method for rapidly simulating power battery aging process based on battery dynamic aging model
CN111025155A (en) * 2019-12-18 2020-04-17 华南理工大学 Method for rapidly simulating power battery aging process based on battery dynamic aging model
EP3842816A1 (en) * 2019-12-24 2021-06-30 China Lithium Battery Technology Co., Limited Soh estimation method of battery pack
CN112259813A (en) * 2020-01-20 2021-01-22 蜂巢能源科技有限公司 Battery charging and discharging power determination method, system and equipment
CN112259813B (en) * 2020-01-20 2022-03-29 蜂巢能源科技有限公司 Battery charging and discharging power determination method, system and equipment
CN111239630A (en) * 2020-03-09 2020-06-05 江苏中兴派能电池有限公司 Energy storage battery service life prediction method and management system
CN111562513A (en) * 2020-04-30 2020-08-21 汉腾新能源汽车科技有限公司 Power battery calendar life estimation method
CN112014736A (en) * 2020-08-21 2020-12-01 中国第一汽车股份有限公司 Battery life prediction method, device, equipment and storage medium
CN112394291A (en) * 2020-11-05 2021-02-23 广州汽车集团股份有限公司 Battery thermal runaway early warning method and device
CN112394291B (en) * 2020-11-05 2024-06-11 广汽埃安新能源汽车有限公司 Battery thermal runaway early warning method and device
CN112595980B (en) * 2020-12-17 2023-08-15 北京海博思创科技股份有限公司 Method, device and equipment for predicting service life of battery energy storage system
CN112595980A (en) * 2020-12-17 2021-04-02 北京海博思创科技股份有限公司 Method, device and equipment for predicting service life of battery energy storage system
CN112706652A (en) * 2020-12-31 2021-04-27 蜂巢能源科技有限公司 Electric vehicle V2G mode discharge capacity determination method and device and storage device
WO2022161002A1 (en) * 2021-01-27 2022-08-04 北京嘀嘀无限科技发展有限公司 Battery state of health prediction method and apparatus, and electronic device and readable storage medium
CN113281656A (en) * 2021-05-20 2021-08-20 北京现代汽车有限公司 Method and device for determining health degree of battery
CN113075557A (en) * 2021-05-20 2021-07-06 张家港清研检测技术有限公司 Vehicle owner self-adaptive power battery residual life prediction method
CN113484783A (en) * 2021-05-31 2021-10-08 北京海博思创科技股份有限公司 Battery SOH detection method, device, system, medium and program product
CN113484783B (en) * 2021-05-31 2024-03-26 北京海博思创科技股份有限公司 Battery SOH detection method, device, system, medium and program product
CN115877242A (en) * 2021-09-26 2023-03-31 比亚迪股份有限公司 Battery health state evaluation method, electronic equipment and readable storage medium
CN114114051A (en) * 2021-11-25 2022-03-01 蜂巢能源科技有限公司 Method and device for determining battery aging value and electronic equipment
CN114114051B (en) * 2021-11-25 2023-05-26 蜂巢能源科技有限公司 Battery aging value determining method and device and electronic equipment
WO2023221587A1 (en) * 2022-05-16 2023-11-23 深圳市道通合创数字能源有限公司 Method for determining state of health of power battery of electric vehicle, and server
WO2024093269A1 (en) * 2022-10-31 2024-05-10 比亚迪股份有限公司 Battery state of health prediction method, electronic device, and readable storage medium
CN116930773A (en) * 2023-09-15 2023-10-24 杭州鹏成新能源科技有限公司 Lithium battery SOH estimation method and system

Similar Documents

Publication Publication Date Title
CN110261790A (en) Predictor method, the apparatus and system of cell health state
Zheng et al. A novel capacity estimation method for lithium-ion batteries using fusion estimation of charging curve sections and discrete Arrhenius aging model
CN106329021B (en) Method and device for estimating remaining available energy of power battery
CN107271905B (en) Battery capacity active estimation method for pure electric vehicle
CN108375739B (en) State of charge estimation method and state of charge estimation system for lithium battery of electric vehicle
US10345390B2 (en) Method and apparatus for correcting error occurring in estimation of battery life
CN102662148B (en) On-line feedback battery state of charge (SOC) predicting method
CN105607004B (en) A kind of lithium ion battery packet health state evaluation method and system
CN102544607B (en) Method and device for obtaining residual electricity value of lithium ion battery and battery system
CN106125006B (en) Battery charge state determines method and device
CN107728072A (en) Method for rapidly predicting cycle life of lithium ion battery
CN109557477A (en) A kind of battery system health status evaluation method
CN110764009B (en) Method for estimating battery pack circulation capacity and health state of electric automobile
CN104459551A (en) Electric vehicle power battery state-of-energy estimation method
CN101320079A (en) Computing method for battery electric quantity state
CN103278777B (en) A kind of lithium battery health condition estimation method based on dynamic bayesian network
CN103698714A (en) Identifying method and system for battery capacity fading mechanism
CN103267953B (en) The evaluation method of a kind of lithium iron phosphate dynamic battery SOC
CN110323519A (en) Battery pack method for heating and controlling and system
CN112379297A (en) Battery system service life prediction method, device, equipment and storage medium
CN103314303A (en) Method for ascertaining the open circuit voltage of a battery, battery with a module for ascertaining the open circuit voltage and a motor vehicle having a corresponding battery
CN106814318A (en) The method for determining the life-span of lithium ion battery and determining estimated life modifying factor
CN103267950A (en) SOH (State Of Health) value evaluation method of electric car battery pack
CN107942261A (en) The method of estimation and system of battery charge state
CN110133515B (en) Method and device for determining remaining energy of battery

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: Unit 1201, unit 3, 12 / F, building 2, yard 9, FengHao East Road, Haidian District, Beijing 100094

Applicant after: Beijing Haibo Sichuang Technology Co.,Ltd.

Address before: 100083 room No. two, block C, building, science and technology research center, Beijing Forestry University, Qinghua East Road, Beijing, Haidian District

Applicant before: BEIJING HYPERSTRONG TECHNOLOGY Co.,Ltd.

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190920