CN107462837B - A kind of SOH evaluation method based on monomer voltage statistics - Google Patents

A kind of SOH evaluation method based on monomer voltage statistics Download PDF

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Publication number
CN107462837B
CN107462837B CN201710637053.8A CN201710637053A CN107462837B CN 107462837 B CN107462837 B CN 107462837B CN 201710637053 A CN201710637053 A CN 201710637053A CN 107462837 B CN107462837 B CN 107462837B
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CN
China
Prior art keywords
charging
soh
soc
voltage
monomer voltage
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CN201710637053.8A
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Chinese (zh)
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CN107462837A (en
Inventor
陕亮亮
戴润义
廖茜
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成都雅骏新能源汽车科技股份有限公司
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Priority to CN201710637053.8A priority Critical patent/CN107462837B/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L58/00Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/12Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
    • 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]
    • G01R31/3644Constructional arrangements
    • G01R31/3648Constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
    • 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
    • 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]
    • G01R31/396Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L2240/00Control parameters of input or output; Target parameters
    • B60L2240/40Drive Train control parameters
    • B60L2240/54Drive Train control parameters related to batteries
    • B60L2240/547Voltage
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries

Abstract

The present invention provides a kind of SOH evaluation method based on monomer voltage statistics, this method comprises: recording in real-time DC charging to monomer voltage every time;Variation of monomer voltage during DC charging is statisticallyd analyze, and then estimates opposite SOH.The present invention is not only avoided that the difficulty that SOH is estimated under different application scene, moreover it is possible to the deviation for avoiding different battery types that algorithm is caused to be estimated.

Description

A kind of SOH evaluation method based on monomer voltage statistics
Technical field
The present invention relates to Vehicular dynamic battery function algorithm field, more particularly, to a kind of based on monomer voltage statistics SOH evaluation method.
Background technique
Vehicular dynamic battery is in the Life cycle that user uses at present, and power battery can be with using the time to carry out Decaying, and then influence the normal use of power battery.Therefore SOH (power battery health status) estimation is carried out, correctly to reflect Power battery SOC (battery charge state) meets user's reasonable employment.Currently estimate that there are two kinds of solutions for SOH.
The first: carrying out solution design from power battery interior characteristic, estimate power battery actual capacity and internal resistance, To carry out SOH estimation.
Second: carrying out solution design from power battery using characteristic, estimation power battery uses time and charge and discharge The characteristic parameters such as electric loop test design, to carry out SOH estimation.
It will lead to two problems: the first power battery actual use in the case where actually estimating scene according to above two method It will affect estimation precision;Second usage scenario does not consider that battery behavior can inherently have bigger trueness error.
Summary of the invention
It is an object of the invention to: in view of the problems of the existing technology, provide a kind of SOH based on monomer voltage statistics Evaluation method solves the problems, such as that existing SOH evaluation method precision is low.
Goal of the invention of the invention is achieved through the following technical solutions:
A kind of SOH evaluation method based on monomer voltage statistics, which is characterized in that this method comprises:
Monomer voltage is recorded in DC charging in real time every time;
Variation of monomer voltage during DC charging is statisticallyd analyze, and then estimates opposite SOH.
Further, in the DC charging stage, the charging starting voltage and electric current of DC charging are controlled.
Further, the charging starting voltage of DC charging and the control parameter of electric current are as follows: standard charging starting is maximum single Bulk voltage is between 3.5V~3.6V, charging current 0.5C, and charging is 4.2V by monomer voltage.
Further, need the monomer voltage sampled point that records for the selection of different SOC points, SOC value since 0, every 5% cell voltage value of record.
Further, SOC averages every the n times monomer voltage that 5% records since 0 and is filtered and stores.
Further, it carries out opposite SOH for the monomer voltage of storage to estimate: the SOH=1- (SOC 0% that SOC is 0% The cell voltage value 1-SOC of storage be 0% storage cell voltage value n)/(SOC is that the cell voltage value 1-SOC of 0% storage is The cell voltage value of 0% end-of-life), and so on, calculate 21 corresponding SOH of difference SOC.
Further, the corresponding SOH of 21 difference SOC is carried out mean value estimation, then obtains final SOH value.
Compared with prior art, the present invention be based on existing battery management system, by battery complete lifecycle, The variation of monomer voltage carries out opposite SOH estimation in DC charging overcharges, and one avoids SOH under different application scene and estimates Difficulty, secondly avoid different battery types cause algorithm estimate deviation.
Detailed description of the invention
Fig. 1 is control method block schematic illustration in the present invention;
Fig. 2 is charging stage control schematic diagram in the present invention;
Fig. 3 is that voltage sample point chooses schematic diagram in the present invention;
Fig. 4 is that voltage sample point of the present invention filters schematic diagram;
Fig. 5 is that SOH estimates schematic diagram in the present invention.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment
It is right in DC charging in real time every time the present embodiment provides a kind of method of SOH estimation based on monomer voltage statistics Monomer voltage is recorded, and variation of monomer voltage during DC charging is statisticallyd analyze, and then estimates opposite SOH.This hair Bright to be primarily present two problems, one is the control of DC charging process, secondly being the selection of monomer voltage sampled point.
A kind of SOH evaluation method based on monomer voltage statistics of the present embodiment, as shown in Figure 1, successively including following step It is rapid:
A, the charging stage controls, and selection standard charging overcharges;
B, voltage sample point is chosen, and carries out selection record to the electrical voltage point of charging stage;
C, voltage sample point filters, and is filtered storage to monomer voltage record value;
D, opposite SOH is estimated.
Each step is further described below:
A, the charging stage controls, and controls the charging starting voltage and electric current of DC charging
It is calculated for the voltage and current of this algorithm requirements, the charging of this algorithm design standard originates maximum monomer voltage It is 3.5V between 3.6V, wherein charging current is 0.5C, and charging is 4.2V by monomer voltage.Its detailed process such as Fig. 2 institute Show.
B, voltage sample point selects, and selects specific monomer voltage sampled point.
For the monomer voltage sampled point that the selection of different SOC points needs to record, SOC value records one since 0, every 5% Secondary cell voltage value.Its detailed process is as shown in Figure 3.
C, voltage sample point filters, and is filtered for the voltage sample point value of n times record of charging
SOC averages every the n times monomer voltage that 5% records since 0 and is filtered and stores.Its detailed process is such as Shown in Fig. 4.
Note: it is 10 that this method sample, which selects N, carries out selection design according to different battery standard charge and discharge cycles.
D, SOH is estimated, carries out opposite SOH estimation for the monomer voltage of storage
(SOC is that the cell voltage value 1-SOC of 0% storage is the cell voltage value of 0% storage to the SOH=1- that SOC is 0% N)/(SOC is that the cell voltage value 1-SOC of 0% storage is the cell voltage value of 0% end-of-life).Its detailed process such as Fig. 5 institute Show.
Example: SOC is that the cell voltage value 1 of 0% storage is 3.4V, and SOC is that the cell voltage value 2 of 0% storage is 3.39V, SOC is that the cell voltage value of 0% end-of-life is 3.3V.
It is 90% that the SOH that then SOC is 0%, which is 0.1,.The corresponding SOH of 21 difference SOC is carried out mean value estimation, then To final SOH value.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, it is noted that all Made any modifications, equivalent replacements, and improvements etc. within the spirit and principles in the present invention should be included in guarantor of the invention Within the scope of shield.

Claims (4)

1. a kind of SOH evaluation method based on monomer voltage statistics, which is characterized in that this method comprises:
Monomer voltage is recorded in DC charging in real time every time: the monomer voltage for needing to record for the selection of different SOC points Sampled point, SOC value record a cell voltage value since 0%, every 5%;
Variation of monomer voltage during DC charging is statisticallyd analyze, and then estimates opposite SOH: for n times record of charging Voltage sample point value is filtered, and SOC averages to the n times monomer voltage every 5% record and be filtered and deposit since 0 Storage;Opposite SOH estimation is carried out for the monomer voltage of storage, (SOC is 0% to SOH=1- when SOC is 0% in the 1st record of charging When cell voltage value-n-th record of charging for storing in the cell voltage value that stores when being 0% of SOC)/(the 1st record of charging The cell voltage value of end-of-life when the cell voltage value-SOC that middle SOC is stored when being 0% is 0%), and so on, calculate 21 The corresponding SOH of a difference SOC.
2. a kind of SOH evaluation method based on monomer voltage statistics according to claim 1, which is characterized in that in direct current Charging stage controls the charging starting voltage and electric current of DC charging.
3. a kind of SOH evaluation method based on monomer voltage statistics according to claim 2, which is characterized in that direct current fills The charging starting voltage of electricity and the control parameter of electric current are as follows: standard charging originates maximum monomer voltage between 3.5V~3.6V, Charging current is 0.5C, and charging is 4.2V by monomer voltage.
4. a kind of SOH evaluation method based on monomer voltage statistics according to claim 1, which is characterized in that 21 The corresponding SOH of different SOC carries out mean value estimation, then obtains final SOH value.
CN201710637053.8A 2017-07-31 2017-07-31 A kind of SOH evaluation method based on monomer voltage statistics CN107462837B (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2397420A1 (en) * 2000-01-12 2001-07-19 Honeywell International Inc. System and method for determining battery state-of-health
JP2004177374A (en) * 2002-11-29 2004-06-24 Shin Kobe Electric Mach Co Ltd Method of estimating battery condition, and method of determining engine start
CN102866361A (en) * 2012-08-31 2013-01-09 惠州市亿能电子有限公司 SOH (state-of-health) online estimation method of battery pack
CN103823188A (en) * 2014-02-25 2014-05-28 宁德时代新能源科技有限公司 Lithium-ion battery pack health state assessment method
CN104882931A (en) * 2015-05-27 2015-09-02 沈阳航空航天大学 Aviation power supply battery management system and method
CN105158698A (en) * 2015-08-28 2015-12-16 江苏大学 Battery pack state of health online estimation method based on charging voltage curve
CN105203850A (en) * 2015-10-28 2015-12-30 北京新能源汽车股份有限公司 Battery internal resistance estimation method and system, and vehicle
CN106599333A (en) * 2015-10-20 2017-04-26 郑州宇通客车股份有限公司 Method for estimating SOH of power supply

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2397420A1 (en) * 2000-01-12 2001-07-19 Honeywell International Inc. System and method for determining battery state-of-health
JP2004177374A (en) * 2002-11-29 2004-06-24 Shin Kobe Electric Mach Co Ltd Method of estimating battery condition, and method of determining engine start
CN102866361A (en) * 2012-08-31 2013-01-09 惠州市亿能电子有限公司 SOH (state-of-health) online estimation method of battery pack
CN103823188A (en) * 2014-02-25 2014-05-28 宁德时代新能源科技有限公司 Lithium-ion battery pack health state assessment method
CN104882931A (en) * 2015-05-27 2015-09-02 沈阳航空航天大学 Aviation power supply battery management system and method
CN105158698A (en) * 2015-08-28 2015-12-16 江苏大学 Battery pack state of health online estimation method based on charging voltage curve
CN106599333A (en) * 2015-10-20 2017-04-26 郑州宇通客车股份有限公司 Method for estimating SOH of power supply
CN105203850A (en) * 2015-10-28 2015-12-30 北京新能源汽车股份有限公司 Battery internal resistance estimation method and system, and vehicle

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