CN110346729B - Method for dynamically adjusting dormancy process of battery management system - Google Patents

Method for dynamically adjusting dormancy process of battery management system Download PDF

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CN110346729B
CN110346729B CN201910540890.8A CN201910540890A CN110346729B CN 110346729 B CN110346729 B CN 110346729B CN 201910540890 A CN201910540890 A CN 201910540890A CN 110346729 B CN110346729 B CN 110346729B
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battery
management system
sleep
battery management
hib
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CN110346729A (en
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王震宇
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Huizhou Yizhao Energy Technology Co ltd
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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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • 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]
    • G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

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

Abstract

The invention provides a method for dynamically adjusting the dormancy process of a battery management system, which comprises the following steps: 1) introducing an adjustment factor FAAs an adjustment criterion for the sleep process of the battery management system; the battery management system monitors and analyzes the battery state in the wake-up mode, and calculates an adjustment factor F according to the battery stateA(ii) a The weight of the battery in the normal state is a first weight GNFirst weight GNCause the adjustment factor FAA positive gain of (d); the weight of the battery in the abnormal state is a second weight GEA second weight GECause the adjustment factor FAA negative gain of (d); 2) setting a maximum value T of a sleep period in a battery management systemmaxAnd a minimum value TminAccording to the last sleep period T of the battery management systemBaseCalculating sleep period T of current battery management systemHib(ii) a 3) After the wake-up mode is finished, the battery management system is started to be THibThe value of (a) is taken as a sleep cycle to enter a sleep mode, and the value of the current sleep cycle is stored to be taken as T for calculating the sleep cycle next timeBaseThe value is obtained.

Description

Method for dynamically adjusting dormancy process of battery management system
[ technical field ] A method for producing a semiconductor device
The invention belongs to the technical field of battery monitoring, and particularly relates to a method for dynamically adjusting a dormancy process of a battery management system.
[ background of the invention ]
The electrochemical energy storage technology has the advantages of short response time, high energy density, flexibility, convenience, low maintenance cost and the like. At present, the energy storage of domestic lithium ion batteries accounts for 66 percent of the installed number of electrochemical energy storage devices, and is the most important electrochemical energy storage form. The energy storage system is generally used for dealing with an emergency condition or relieving an electricity consumption peak, and under the non-working condition, most of the energy storage system is in a dormant state to reduce the power consumption of the system; especially, the lithium battery energy storage system needs to be equipped with a corresponding battery management system to monitor the battery state. If the battery management system is operating uninterruptedly, the amount of power of the battery used by the energy storage system is consumed. Therefore, the battery management system needs to enter a sleep mode to reduce power consumption while ensuring effective monitoring of the battery state. However, the conventional sleep mode is a timing sleep mode and a timing wake-up mode, has a single function, cannot adjust the sleep process in time according to the state before sleep, and cannot realize the balance of safety and power consumption.
In view of the above, it is desirable to provide a method for dynamically adjusting the sleep process of a battery management system to overcome the above-mentioned drawbacks.
[ summary of the invention ]
The invention provides a method for dynamically adjusting the dormancy process of a battery management system, which can balance the safety and the power consumption.
In order to achieve the above object, the present invention provides a method for dynamically adjusting a sleep process of a battery management system, comprising the following steps:
1) introducing an adjustment factor FAAs an adjustment criterion for the sleep process of the battery management system; the battery management system monitors and analyzes the battery state in the wake-up mode, and calculates an adjustment factor F according to the battery stateA(ii) a Wherein the battery state comprises a normal state and an abnormal state, and the weight of the battery in the normal state is a first weight GNThe first weight GNCause the adjustment factor FAA positive gain of (d); the weight of the battery in the abnormal state is a second weight GEThe second weight GECause the adjustment factor FAThe negative gain of (c).
2) Setting a maximum value T of a sleep period in a battery management systemmaxAnd a minimum value TminAccording to the last sleep period T of the battery management systemBaseCalculating sleep period T of current battery management systemHibWherein T isHib＝TBase*(1+FA) And T isHibIs taken as value of TminTo TmaxWithin the range of (a).
3) After the wake-up mode is finished, the battery management system performs T in step 2)HibThe value of (a) is taken as a sleep cycle to enter a sleep mode, and the value of the current sleep cycle is stored before entering the sleep mode to be taken as T for calculating the sleep cycle next timeBaseThe value is obtained.
In a preferred embodiment, in step 1), the second weight GEIs output when the battery is in abnormal stateThe sum of the weights of the at least one current abnormal condition.
In a preferred embodiment, the abnormal state comprises three abnormal conditions of battery overcharge and overdischarge, high temperature or low temperature of the battery and control relay adhesion.
In a preferred embodiment, in step 1), the factor F is adjusted when the battery is in a normal stateA＝GN(ii) a Adjusting the factor F when the battery is in an abnormal stateA＝-GE。
In a preferred embodiment, in step 2), if T is in a normal state when the battery is in a normal stateHibIs not more than TmaxThen T isHibThe value of (A) is a calculated value; if THibIs greater than TmaxThen T isHibIs taken as Tmax。
In a preferred embodiment, in step 2), if T is in abnormal state when the battery is in abnormal stateHibIs not less than TminThen T isHibThe value of (A) is a calculated value; if THibIs less than TminThen T isHibIs taken as Tmin。
Compared with the prior art, the invention has the beneficial effects that: the battery management system enters a sleep mode by using a new sleep period after monitoring is finished every time, the sleep time is prolonged when the system is stable so as to reduce power consumption, and the sleep time is shortened when the system is unstable so as to increase monitoring frequency, so that the balance of safety and power consumption is realized, and the safety of the system is improved.
[ description of the drawings ]
Fig. 1 is a flowchart of a method for dynamically adjusting a sleep process of a battery management system according to the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantageous effects of the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, the present invention provides a method for dynamically adjusting a sleep process of a battery management system, comprising the following steps:
1) introducing a regulating factor F in a battery management systemAAs an adjustment criterion for the sleep process of the battery management system; the battery management system monitors and analyzes the battery state in the wake-up mode, and calculates an adjustment factor F according to the battery stateA. Wherein the battery state comprises a normal state and an abnormal state, and the weight of the battery in the normal state is a first weight GNThe weight of the battery in the abnormal state is a second weight GE。
Specifically, the normal state is that the system works normally, and the battery is detected to have no fault; the abnormal state is various conditions such as battery overcharge and overdischarge, high temperature or low temperature of the battery, control relay adhesion and the like. In this embodiment, the battery management system is applied to a lithium battery energy storage system, and the lithium battery energy storage system includes at least one battery pack monitored and managed by the battery management system.
If the battery is in a normal state, a first weight G is obtainedN(ii) a The first weight G is set when the system is stable due to the normal state of the batteryNCause the adjustment factor FAOf the resulting adjustment factor FAPositive values. If the battery is in abnormal state, the second weight G is obtainedE(ii) a The second weight G is set when the system is unstable due to the abnormal state of the batteryECause the adjustment factor FAOf the resulting adjustment factor FAIs negative.
Further, a second weight GEIs the sum of the weights of at least one abnormal condition occurring when the battery is in an abnormal state. In the practical application process, grades are divided according to the severity of different abnormal conditions, and the weights of the different abnormal conditions are respectively calculated. In one embodiment, if the battery management system monitors that three abnormal conditions occur in the battery state, namely battery overcharge and overdischarge, battery high temperature or battery low temperature and control relay adhesion, respectively, wherein the weight of the battery overcharge and overdischarge is GE1At high temperature of the battery orWeight of low temperature is GE2And the weight for controlling the adhesion of the relay is GE3Then G isE＝GE1+GE2+GE3。
2) Setting a maximum value T of a sleep period in a battery management systemmaxAnd a minimum value TminAccording to the last sleep period T of the battery management systemBaseCalculating sleep period T of current battery management systemHibWherein T isHib＝TBase*(1+FA) And T isHibIs taken as value of TminTo TmaxWithin the range of (a).
Specifically, when the battery is in a normal state, the factor F is adjustedA＝GNCalculating the resulting sleep period THibGreater than last sleep period TBaseNamely, the sleep time is increased when the system is stable so as to reduce the power consumption; adjusting the factor F when the battery is in an abnormal stateA＝-GECalculating the resulting sleep period THibLess than last sleep period TBaseNamely, when the system is unstable, the current sleep duration of the system is reduced to increase the monitoring frequency, so that the safety of the system is ensured.
Further, if T is in the normal stateHibIs not more than TmaxThen T isHibIs calculated, i.e. the battery management system takes T after the wake-up mode is finishedHibEntering a sleep mode; if THibIs greater than TmaxThen T isHibIs taken as TmaxI.e. the battery management system takes T after the wake-up mode is overmaxA sleep mode is entered.
When the battery is in an abnormal state, if THibIs not less than TminThen T isHibIs calculated, i.e. the battery management system takes T after the wake-up mode is finishedHibEntering a sleep mode; if THibIs less than TminThen T isHibIs taken as TminI.e. the battery management system takes T after the wake-up mode is overminA sleep mode is entered.
3) After the wake-up mode is finished, the battery management system is started to be THibThe value of (a) is taken as a sleep cycle to enter a sleep mode, and the battery management system stores the value of the current sleep cycle before entering the sleep mode as T for calculating the sleep cycle next timeBaseThe value is obtained.
In summary, in the method for dynamically adjusting the sleep process of the battery management system provided by the present invention, after each monitoring, the system enters the sleep mode using a new sleep cycle, the sleep duration is increased when the system is stable to reduce power consumption, and the sleep duration is decreased when the system is unstable to increase the monitoring frequency, thereby achieving the balance between security and power consumption and improving the security of the system.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (6)

1. A method for dynamically adjusting a sleep process of a battery management system is characterized by comprising the following steps:
1) introducing an adjustment factor FAAs an adjustment criterion for the sleep process of the battery management system; the battery management system monitors and analyzes the battery state in the wake-up mode, and calculates an adjustment factor F according to the battery stateA(ii) a Wherein the battery state comprises a normal state and an abnormal state, and the weight of the battery in the normal state is a first weight GNThe first weight GNCause the adjustment factor FAA positive gain of (d); the weight of the battery in the abnormal state is a second weight GEThe second weight GECause the adjustment factor FAA negative gain of (d);
2) setting a maximum value T of a sleep period in a battery management systemmaxAnd a minimum value TminAccording to the last sleep period T of the battery management systemBaseCalculating a sleep cycle for a current battery management systemPeriod THibWherein T isHib＝TBase*(1+FA) And T isHibIs taken as value of TminTo TmaxWithin the range of (1);
3) after the wake-up mode is finished, the battery management system performs T in step 2)HibThe value of (a) is taken as a sleep cycle to enter a sleep mode, and the value of the current sleep cycle is stored before entering the sleep mode to be taken as T for calculating the sleep cycle next timeBaseThe value is obtained.
2. The method of dynamically adjusting battery management system sleep procedures as set forth in claim 1, wherein: in step 1), the second weight GEIs the sum of the weights of at least one abnormal condition occurring when the battery is in an abnormal state.
3. The method of dynamically adjusting battery management system sleep procedures as set forth in claim 2, wherein: the abnormal state comprises three abnormal conditions of battery overcharge and over discharge, battery high temperature or low temperature and control relay adhesion.
4. The method of dynamically adjusting battery management system sleep procedures as set forth in claim 1, wherein: in step 1), when the battery is in a normal state, adjusting a factor FA＝GN(ii) a Adjusting the factor F when the battery is in an abnormal stateA＝-GE。
5. The method of dynamically adjusting battery management system sleep procedures as set forth in claim 1, wherein: in step 2), when the battery is in a normal state, if T is detectedHibIs not more than TmaxThen T isHibThe value of (A) is a calculated value; if THibIs greater than TmaxThen T isHibIs taken as Tmax。
6. The method of dynamically adjusting battery management system sleep procedures as set forth in claim 1, wherein: in step 2), when the battery is positionedIn an abnormal state, if THibIs not less than TminThen T isHibThe value of (A) is a calculated value; if THibIs less than TminThen T isHibIs taken as Tmin。
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CN113696780B (en) * 2020-05-22 2024-05-07 比亚迪股份有限公司 Battery management system self-wake-up diagnosis method, battery management system and vehicle
CN113928179A (en) * 2021-11-30 2022-01-14 重庆长安新能源汽车科技有限公司 Power battery monitoring method in whole vehicle standing state

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CN101232518A (en) * 2008-01-31 2008-07-30 北京航空航天大学 Low-power dissipation media access control method of node dynamic state resting
CN101325604A (en) * 2008-07-21 2008-12-17 重庆邮电大学 Energy-saving method for distributed self-adaption industry wireless network
CN101778466A (en) * 2009-12-28 2010-07-14 中兴通讯股份有限公司 Setting method and system for dormant window
CN102098731A (en) * 2011-01-25 2011-06-15 无锡泛联物联网科技股份有限公司 Hop-based flow adaptive dormancy scheduling method in wireless sensor network
CN102570589A (en) * 2011-12-27 2012-07-11 南京理学工程数据技术有限公司 Electronic equipment with sleeping control circuit and sleeping control method of electronic equipment
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