CN110861496B - Battery SOH value adjusting method and system - Google Patents

Battery SOH value adjusting method and system Download PDF

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Publication number
CN110861496B
CN110861496B CN201911197645.8A CN201911197645A CN110861496B CN 110861496 B CN110861496 B CN 110861496B CN 201911197645 A CN201911197645 A CN 201911197645A CN 110861496 B CN110861496 B CN 110861496B
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battery
soh
battery soh
value
initial value
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CN110861496A (en
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王文科
徐任弘
任珂
夏吉
武启雷
周英翔
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Anhui Jianghuai Automobile Group Corp
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Anhui Jianghuai Automobile Group Corp
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
    • B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
    • B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION 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
    • B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
    • B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
    • B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
    • 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]
    • G01R31/392—Determining battery ageing or deterioration, e.g. state of health
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries

Abstract

The invention belongs to the technical field of SOH estimation of a state of health (SOH) of a power battery and discloses a method and a system for adjusting an SOH value of the battery. The method comprises the following steps: the remote server obtains battery SOH values corresponding to a plurality of vehicles to be tested respectively, battery grouping division is carried out on the battery SOH values according to preset rules, a plurality of battery grouping sets are obtained, battery SOH initial values in the battery grouping sets are obtained according to the battery grouping sets, battery SOH target values and battery SOH basic values corresponding to the battery grouping sets are calculated through a normal distribution algorithm according to the battery SOH initial values, whether the battery SOH initial values meet the battery SOH basic values or not is detected, a detection result is obtained, a high-risk vehicle list is generated, then a target vehicle terminal obtains the battery SOH target values and the battery SOH initial values from the high-risk vehicle list, the battery SOH initial values are adjusted, and accurate obtaining of the battery SOH values is achieved through the method.

Description

Battery SOH value adjusting method and system
Technical Field
The invention relates to the technical field of estimation of SOH (state of health) of a power battery, in particular to a method and a system for adjusting an SOH value of the battery.
Background
The state of health (SOH) of the power battery is an important index of the power battery of the electric vehicle, and the SOH directly influences the calculation of the energy and capacity which can be used by the battery and influences the accuracy of functions such as SOC estimation, SOE estimation, SOF estimation, remaining mileage estimation and the like of the battery pack.
In the prior art, the control unit of the vehicle has limited calculation capability and limited data which can be acquired by a single vehicle, the performance estimation difficulty of the battery attenuation, which is long in change period and has a plurality of affected conditions, is high, and the problem of high deviation between the estimated SOH and an actual value is easy to occur. The invention utilizes the strong operational capability of the remote server, statistically estimates the SOH distribution of vehicles with the same SOH level by analyzing a large amount of running data of tens of thousands of vehicles, selects a more ideal SOH value by applying a statistical processing method, then sends the SOH value to the vehicle end controller, adjusts the SOH parameter of the vehicle power battery, and further judges the battery state of the vehicle which is seriously deviated from the statistical mean value or is diagnosed by technical personnel.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method and a system for adjusting a battery SOH value, and aims to solve the technical problem that the deviation between an estimated SOH value and an actual value is large in the prior art.
In order to achieve the above object, the present invention provides a method for adjusting the SOH value of a battery, comprising the steps of:
the method comprises the steps that a remote server obtains battery SOH values corresponding to a plurality of vehicles to be tested respectively, and battery grouping division is carried out on the battery SOH values corresponding to the vehicles to be tested according to a preset rule to obtain a plurality of battery grouping sets;
the remote server acquires a corresponding battery SOH initial value in the battery grouping set according to the battery grouping set;
the remote server calculates a battery SOH target value and a battery SOH basic value corresponding to the battery grouping set through a normal distribution algorithm according to the battery SOH initial value;
the remote server detects whether the initial value of the battery SOH meets the base value of the battery SOH to obtain a detection result;
the remote server generates a high-risk vehicle list according to the detection result, and sends the battery SOH target value and the battery SOH value to a target vehicle terminal according to the high-risk vehicle list;
and the target vehicle terminal adjusts the initial value of the battery SOH according to the target value of the battery SOH.
Preferably, the step of obtaining a plurality of battery SOH values corresponding to the vehicles to be tested by the remote server, and performing battery grouping division on the battery SOH values corresponding to the vehicles to be tested according to a preset rule, and obtaining a plurality of battery grouping sets further includes:
the remote server acquires battery operation data corresponding to a plurality of vehicles to be processed respectively;
and the remote server respectively calculates the SOH value of the battery corresponding to each vehicle to be processed through a preset analysis algorithm according to the battery operation data corresponding to each vehicle to be processed.
Preferably, the step of the remote server detecting whether the initial value of the battery SOH satisfies the base value of the battery SOH and obtaining a detection result includes:
the remote server judges whether the initial value of the battery SOH meets the base value of the battery SOH;
and the remote server acquires the initial value of the battery SOH corresponding to the base value of the battery SOH which is not satisfied, and takes the initial value of the battery SOH as a detection result.
Preferably, the step of the remote server generating a high-risk vehicle list according to the detection result, and sending the battery SOH target value and the battery SOH initial value to a target vehicle terminal according to the high-risk vehicle list includes:
the remote server acquires a corresponding battery SOH target value according to the battery SOH initial value;
the remote server establishes a high-risk vehicle list according to the battery SOH target value and the battery SOH initial value;
the remote server acquires the battery SOH target value and the battery SOH initial value from the high-risk vehicle list;
the remote server transmits the battery SOH target value and the battery SOH initial value to a target vehicle terminal.
Preferably, the step of adjusting the initial value of the battery SOH by the target vehicle terminal according to the target value of the battery SOH includes:
the target vehicle terminal judges whether the target value of the battery SOH and the initial value of the battery SOH are received or not;
the target vehicle terminal detects whether data abnormality exists in the initial value of the battery SOH when receiving the target value of the battery SOH and the initial value of the battery SOH;
and when the target vehicle terminal detects that the initial value of the battery SOH has data abnormity, adjusting the initial value of the battery SOH according to the target value of the battery SOH by a preset adjustment rule.
In addition, in order to achieve the above object, the present invention further provides a system for adjusting the SOH value of a battery, the system comprising: the system comprises a remote server and a target vehicle terminal;
the remote server is used for acquiring battery SOH values corresponding to a plurality of vehicles to be tested respectively, and performing battery grouping division on the battery SOH values corresponding to the vehicles to be tested according to a preset rule to acquire a plurality of battery grouping sets;
the remote server is further used for acquiring a corresponding battery SOH initial value in the battery grouping set according to the battery grouping set;
the remote server is further used for calculating a battery SOH target value and a battery SOH basic value corresponding to the battery grouping set through a normal distribution algorithm according to the battery SOH initial value;
the remote server is further used for detecting whether the initial value of the battery SOH meets the base value of the battery SOH to obtain a detection result;
the remote server is further used for generating a high-risk vehicle list according to the detection result, and sending the battery SOH target value and the battery SOH value to a target vehicle terminal according to the high-risk vehicle list;
and the target vehicle terminal is used for adjusting the initial value of the battery SOH according to the target value of the battery SOH.
Preferably, the remote server is further configured to obtain battery operation data corresponding to each of the plurality of vehicles to be processed;
and the remote server is also used for respectively calculating the SOH value of the battery corresponding to each vehicle to be processed through a preset analysis algorithm according to the battery operation data corresponding to each vehicle to be processed.
Preferably, the remote server is further configured to determine whether the initial value of the battery SOH satisfies the base value of the battery SOH;
the remote server is further configured to obtain an initial value of the battery SOH corresponding to the base value of the battery SOH, and use the initial value of the battery SOH as a detection result.
Preferably, the remote server is further configured to obtain the corresponding battery SOH target value according to the battery SOH initial value;
the remote server is further used for establishing a high-risk vehicle list according to the battery SOH target value and the battery SOH initial value;
the remote server is further used for acquiring the battery SOH target value and the battery SOH initial value from the high-risk vehicle list;
the remote server is further used for sending the battery SOH target value and the battery SOH initial value to a target vehicle terminal.
Preferably, the target vehicle terminal is further configured to determine whether the target battery SOH value and the initial battery SOH value are received;
the target vehicle terminal is further used for detecting whether data abnormity exists in the initial value of the battery SOH when the target value of the battery SOH and the initial value of the battery SOH are received;
and the target vehicle terminal is also used for adjusting the initial value of the battery SOH according to the target value of the battery SOH and a preset adjustment rule when detecting that the initial value of the battery SOH has data abnormity.
The invention obtains battery SOH values corresponding to a plurality of vehicles to be tested respectively through a remote server, and divides the battery SOH values corresponding to the vehicles to be tested into battery groups according to a preset rule to obtain a plurality of battery group sets, obtains corresponding battery SOH initial values in the battery group sets according to the battery group sets, calculates battery SOH target values and battery SOH basic values corresponding to the battery group sets through a normal distribution algorithm according to the battery SOH initial values, detects whether the battery SOH initial values meet the battery SOH basic values or not to obtain detection results, generates a high-risk vehicle list according to the detection results, sends the battery SOH target values and the battery SOH values to a target vehicle terminal according to the high-risk vehicle list, adjusts the battery SOH initial values according to the battery SOH target values, and takes the adjusted battery SOH initial values as vehicle battery SOH predicted values through the mode, therefore, the problem that the SOH estimation accuracy of the vehicle is low due to the fact that the calculation capability of a vehicle controller is limited and the running data of a single vehicle is limited in the SOH estimation of the power battery of the electric vehicle is solved.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for adjusting the SOH value of a battery according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a method for adjusting the SOH value of a battery according to a second embodiment of the present invention;
fig. 3 is a block diagram illustrating a first embodiment of a system for adjusting the SOH value of a battery according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
An embodiment of the present invention provides a method for adjusting an SOH value of a battery, and referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of the method for adjusting the SOH value of the battery according to the present invention.
In this embodiment, the method for adjusting the SOH value of the battery includes the following steps:
step S10: the remote server obtains battery SOH values corresponding to a plurality of vehicles to be tested respectively, and battery grouping division is carried out on the battery SOH values corresponding to the vehicles to be tested according to a preset rule to obtain a plurality of battery grouping sets.
It should be understood that, before the above steps, the remote server further obtains battery operation data corresponding to a plurality of vehicles to be processed, and the remote server calculates battery SOH values corresponding to the vehicles to be processed respectively through a preset analysis algorithm according to the battery operation data corresponding to the vehicles to be processed respectively.
It should be noted that the remote server collects a large amount of operation data of the vehicle in advance, and the operation data includes data of vehicle emptying, vehicle terminal standing, slow full filling and the like.
Further, it should be understood that the vehicle empty is determined by the vehicle controller and the empty flag is ultimately sent to the remote server. The judging method comprises the following steps: the lowest single voltage of the vehicle power storage battery is less than or equal to V0, or the lowest single voltage of the power storage battery is less than or equal to V1 when the vehicle continuously meets the condition that the current is less than or equal to I1 for 5s, wherein the following steps are included: v0< V1.
In addition, the slow charging is performed until the maximum cell voltage of the power storage battery is more than or equal to V full charging.
In addition, it should be understood that the highest/lowest cell voltage is that the power storage battery is formed by connecting a plurality of series of modules in series, each module is counted as a cell, wherein the voltage value of the voltage minimum module is the lowest cell voltage, and the voltage value of the voltage maximum module is the highest cell voltage.
In addition, the SOH values of different vehicles are analyzed and calculated from the plurality of data corresponding to each vehicle, and the SOH values are stored in association with data such as the frame number, the traveled mileage, the accumulated operating time, the accumulated power-off remaining time, and the accumulated charge capacity of the vehicle.
The SOH value is calculated by recording the full charge capacity as C1 and the rated capacity of the power storage battery as C0 when the vehicle is slowly fully charged immediately after being emptied, and then SOH is C1/C0.
Further, it is understood that the vehicles are divided into a plurality of groups, each of which is regarded as similar in SOH level, on a monthly cycle basis, according to information of accumulated mileage of the vehicles, accumulated running time period, accumulated power-off stand-by time period, accumulated charged capacity, and the like.
Step S20: and the remote server acquires a corresponding battery SOH initial value in the battery grouping set according to the battery grouping set.
It should be noted that, the remote server obtains the corresponding battery SOH initial value in the battery grouping set according to the obtained grouping set and then according to the battery grouping set.
Furthermore, it should be understood that the initial value of the SOH of the battery obtained at this time is consistent with the SOH value of the battery corresponding to the vehicle to be tested obtained for the first time.
Step S30: and the remote server calculates a battery SOH target value and a battery SOH basic value corresponding to the battery grouping set through a normal distribution algorithm according to the battery SOH initial value.
In addition, it should be noted that the SOH estimation results of the batteries in each group are counted, and then the SOH estimation results are analyzed according to a normal distribution data rule, so as to solve the standard deviation corresponding to the group and obtain the battery SOH target value and the battery SOH base value corresponding to the battery group set.
Furthermore, it should be understood that all valid SOH calculations within a group are counted as a normal distribution, where the vehicles are not distinguished, and the group is considered as a whole. And taking the X-2 sigma value of the statistical result as the SOH target value of the packet.
Step S40: the remote server detects whether the initial value of the battery SOH meets the base value of the battery SOH to obtain a detection result.
In addition, according to whether the initial value of the battery SOH is smaller than the vehicle information of X-3 sigma or not, if the initial value of the battery SOH is smaller than the vehicle information of X-3 sigma, the vehicle information smaller than the X-3 sigma is extracted, and the extracted initial value of the battery SOH is used as a detection result.
Step S50: and the remote server generates a high-risk vehicle list according to the detection result and sends the battery SOH target value and the battery SOH value to a target vehicle terminal according to the high-risk vehicle list.
It should be understood that the remote server acquires the corresponding battery SOH target value according to the battery SOH initial value, the remote server establishes a high-risk vehicle list according to the battery SOH target value and the battery SOH initial value, the remote server acquires the battery SOH target value and the battery SOH initial value from the high-risk vehicle list, and the remote server transmits the battery SOH target value and the battery SOH initial value to a target vehicle terminal.
Note that X-2 σ is used as the SOH target result of the packet. Counting vehicle information smaller than X-3 sigma, generating an SOH high-risk vehicle list, then sending the battery SOH target value to all vehicles in a group, sending data including a source code and a counter code of the target value, repeatedly sending the data until a target vehicle terminal receives confirmed information returned by the sent vehicle, judging the credibility of the target vehicle terminal according to the data and the counter code after the target vehicle terminal receives the battery SOH target value sent by a server, and replying the server to finish information confirmation after the credibility is confirmed.
Step S60: and the target vehicle terminal adjusts the initial value of the battery SOH according to the target value of the battery SOH.
In addition, the target vehicle terminal determines whether the target battery SOH target value and the initial battery SOH value are received, detects whether data abnormality exists in the initial battery SOH value when the target vehicle terminal receives the target battery SOH target value and the initial battery SOH value, and adjusts the initial battery SOH value according to a preset adjustment rule according to the target battery SOH value when detecting that the data abnormality exists in the initial battery SOH value.
In addition, the data abnormality is whether the current battery state is in a problem, and if the battery state is normal, the initial value of the battery SOH is adjusted according to the target value of the battery SOH by a preset adjustment rule.
In addition, it should be understood that the step of adjusting the initial value of the battery SOH by the preset adjustment rule is to adjust the initial value of the battery SOH and set the relevant parameters according to the principle that the SOH is only adjusted downwards but not adjusted upwards and each adjustment is not more than 4% according to the target value of the battery SOH and the size of the initial value of the battery SOH.
In the embodiment, the remote server acquires battery SOH values corresponding to a plurality of vehicles to be tested respectively, battery grouping division is performed on the battery SOH values corresponding to the vehicles to be tested according to a preset rule to obtain a plurality of battery grouping sets, battery SOH initial values corresponding to the battery grouping sets are acquired according to the battery grouping sets, battery SOH target values and battery SOH basic values corresponding to the battery grouping sets are calculated according to the battery SOH initial values through a normal distribution algorithm, whether the battery SOH initial values meet the battery SOH basic values or not is detected to obtain a detection result, a high-risk vehicle list is generated according to the detection result, the battery SOH target values and the battery SOH values are sent to the target vehicle terminal according to the high-risk vehicle list, the target vehicle terminal adjusts the battery SOH initial values according to the battery SOH target values, and the method is known by combining an electric vehicle technology and a cloud computing technology, the strong computing power of the cloud server is fully utilized, the number of statistical samples is increased, and a more reasonable and accurate SOH estimation result is obtained.
Referring to fig. 2, fig. 2 is a schematic flow chart illustrating a method for adjusting the SOH value of a battery according to a second embodiment of the present invention.
Based on the first embodiment, the step S60 in the method for adjusting the SOH value of the battery in this embodiment specifically includes:
step S601: the target vehicle terminal determines whether the battery SOH target value and the battery SOH initial value are received.
It should be noted that, it should be determined whether the target vehicle terminal receives the target value of the battery SOH corresponding to the target vehicle and the initial value of the fox-complaint battery SOH.
Step S602: and the target vehicle terminal detects whether data abnormity exists in the initial value of the battery SOH when receiving the target value of the battery SOH and the initial value of the battery SOH.
Furthermore, it should be understood that, before receiving the battery SOH target value and the battery SOH initial value, the target vehicle issues the battery SOH target value to all vehicles in a group, the issued data includes a source code and a complement of the target value, and before receiving the confirmed information returned by the issued vehicle, the target vehicle repeatedly issues the battery SOH target value until the target vehicle terminal receives the battery SOH target value issued by the server, first determines the reliability of the battery SOH target value according to the data and the complement of the battery SOH target value, replies to the server that the information confirmation is completed after confirming the reliability, and determines that the target vehicle terminal receives the battery SOH target value and the battery SOH initial value after receiving the confirmation of the completion information,
in addition, the data abnormality is whether or not there is a problem with the current battery state
Step S603: and when the target vehicle terminal detects that the initial value of the battery SOH has data abnormity, adjusting the initial value of the battery SOH according to the target value of the battery SOH by a preset adjustment rule.
In addition, it should be understood that if the battery state is normal, the initial value of the battery SOH is adjusted according to the target value of the battery SOH by a preset adjustment rule.
In addition, it should be understood that the step of adjusting the initial value of the battery SOH by the preset adjustment rule is to adjust the initial value of the battery SOH and set the relevant parameters according to the principle that the SOH is only adjusted downwards but not adjusted upwards and each adjustment is not more than 4% according to the target value of the battery SOH and the size of the initial value of the battery SOH.
In this embodiment, whether the target vehicle terminal receives the battery SOH target value and the battery SOH initial value is judged, the target vehicle terminal detects whether the battery SOH initial value has data abnormality or not when receiving the battery SOH target value and the battery SOH initial value, and the target vehicle terminal adjusts the battery SOH initial value according to the battery SOH target value and a preset adjustment rule when detecting that the battery SOH initial value has data abnormality, so as to obtain a more accurate battery SOH value.
Referring to fig. 3, fig. 3 is a block diagram illustrating a first embodiment of a system for adjusting the SOH value of a battery according to the present invention.
As shown in fig. 3, the battery SOH value adjustment system according to the embodiment of the present invention includes a remote server 110 and a target vehicle terminal 210;
the remote server 110 is configured to obtain battery SOH values corresponding to a plurality of vehicles to be tested, and perform battery grouping division on the battery SOH values corresponding to the vehicles to be tested according to a preset rule to obtain a plurality of battery grouping sets;
it should be understood that, before the above steps, the remote server further obtains battery operation data corresponding to a plurality of vehicles to be processed, and the remote server calculates battery SOH values corresponding to the vehicles to be processed respectively through a preset analysis algorithm according to the battery operation data corresponding to the vehicles to be processed respectively.
It should be noted that the remote server collects a large amount of operation data of the vehicle in advance, and the operation data includes data of vehicle emptying, vehicle terminal standing, slow full filling and the like.
Further, it should be understood that the vehicle empty is determined by the vehicle controller and the empty flag is ultimately sent to the remote server. The judging method comprises the following steps: the lowest single voltage of the vehicle power storage battery is less than or equal to V0, or the lowest single voltage of the power storage battery is less than or equal to V1 when the vehicle continuously meets the condition that the current is less than or equal to I1 for 5s, wherein the following steps are included: v0< V1.
In addition, the slow charging is performed until the maximum cell voltage of the power storage battery is more than or equal to V full charging.
In addition, it should be understood that the highest/lowest cell voltage is that the power storage battery is formed by connecting a plurality of series of modules in series, each module is counted as a cell, wherein the voltage value of the voltage minimum module is the lowest cell voltage, and the voltage value of the voltage maximum module is the highest cell voltage.
In addition, the SOH values of different vehicles are analyzed and calculated from the plurality of data corresponding to each vehicle, and the SOH values are stored in association with data such as the frame number, the traveled mileage, the accumulated operating time, the accumulated power-off remaining time, and the accumulated charge capacity of the vehicle.
The SOH value is calculated by recording the full charge capacity as C1 and the rated capacity of the power storage battery as C0 when the vehicle is slowly fully charged immediately after being emptied, and then SOH is C1/C0.
Further, it is understood that the vehicles are divided into a plurality of groups, each of which is regarded as similar in SOH level, on a monthly cycle basis, according to information of accumulated mileage of the vehicles, accumulated running time period, accumulated power-off stand-by time period, accumulated charged capacity, and the like.
The remote server 110 is further configured to obtain a corresponding battery SOH initial value in the battery grouping set according to the battery grouping set;
it should be noted that, the remote server 110 obtains the corresponding battery SOH initial value in the battery grouping set according to the obtained grouping set and then according to the battery grouping set.
Furthermore, it should be understood that the initial value of the SOH of the battery obtained at this time is consistent with the SOH value of the battery corresponding to the vehicle to be tested obtained for the first time.
The remote server 110 is further configured to calculate, according to the initial value of the battery SOH, a battery SOH target value and a battery SOH basic value corresponding to the battery grouping set through a normal distribution algorithm;
in addition, it should be noted that the SOH estimation results of the batteries in each group are counted, and then the SOH estimation results are analyzed according to a normal distribution data rule, so as to solve the standard deviation corresponding to the group and obtain the battery SOH target value and the battery SOH base value corresponding to the battery group set.
Furthermore, it should be understood that all valid SOH calculations within a group are counted as a normal distribution, where the vehicles are not distinguished, and the group is considered as a whole. And taking the X-2 sigma value of the statistical result as the SOH target value of the packet.
The remote server 110 is further configured to detect whether the initial value of the battery SOH meets the basic value of the battery SOH to obtain a detection result;
in addition, according to whether the initial value of the battery SOH is smaller than the vehicle information of X-3 σ or not, which is detected by the remote server 110, if the initial value of the battery SOH is smaller than the vehicle information of X-3 σ, the vehicle information smaller than X-3 σ is extracted, and the extracted initial value of the battery SOH is used as a detection result.
The remote server 110 is further configured to generate a high-risk vehicle list according to the detection result, and send the battery SOH target value and the battery SOH value to the target vehicle terminal 210 according to the high-risk vehicle list;
it should be understood that the remote server 110 obtains the corresponding battery SOH target value according to the battery SOH initial value, the remote server 110 establishes a high-risk vehicle list according to the battery SOH target value and the battery SOH initial value, the remote server 110 obtains the battery SOH target value and the battery SOH initial value from the high-risk vehicle list, and the remote server 110 transmits the battery SOH target value and the battery SOH initial value to the target vehicle terminal 210.
Note that X-2 σ is used as the SOH target result of the packet. Counting vehicle information smaller than X-3 sigma, generating an SOH high-risk vehicle list, then sending the battery SOH target value to all vehicles in a group, sending data including a source code and a counter code of the target value, repeatedly sending the data until a target vehicle terminal receives confirmed information returned by the sent vehicle, judging the credibility of the target vehicle terminal according to the data and the counter code after the target vehicle terminal receives the battery SOH target value sent by a server, and replying the server to finish information confirmation after the credibility is confirmed.
The target vehicle terminal 210 is configured to adjust the initial value of the battery SOH according to the target value of the battery SOH.
In addition, the target vehicle terminal 210 determines whether the battery SOH target value and the battery SOH initial value are received, the target vehicle terminal 210 detects whether there is a data abnormality in the battery SOH initial value when receiving the battery SOH target value and the battery SOH initial value, and the target vehicle terminal 210 adjusts the battery SOH initial value according to the battery SOH target value by a preset adjustment rule when detecting that there is a data abnormality in the battery SOH initial value.
In addition, the data abnormality is whether the current battery state is in a problem, and if the battery state is normal, the initial value of the battery SOH is adjusted according to the target value of the battery SOH by a preset adjustment rule.
In addition, it should be understood that the step of adjusting the initial value of the battery SOH by the preset adjustment rule is to adjust the initial value of the battery SOH and set the relevant parameters according to the principle that the SOH is only adjusted downwards but not adjusted upwards and each adjustment is not more than 4% according to the target value of the battery SOH and the size of the initial value of the battery SOH.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
In this embodiment, the remote server 110 obtains battery SOH values corresponding to a plurality of vehicles to be tested, and performs battery grouping division on the battery SOH values corresponding to the vehicles to be tested according to a preset rule to obtain a plurality of battery grouping sets, obtains corresponding battery SOH initial values in the battery grouping sets according to the battery grouping sets, calculates battery SOH target values and battery SOH basic values corresponding to the battery grouping sets according to the battery SOH initial values by a normal distribution algorithm, detects whether the battery SOH initial values satisfy the battery SOH basic values to obtain detection results, generates a high-risk vehicle list according to the detection results, and transmits the battery SOH target values and the battery SOH values to the target vehicle terminal 210 according to the high-risk vehicle list, and the target vehicle terminal 210 adjusts the battery SOH initial values according to the battery SOH target values, which can be known from the above manner, the present invention combines an electric vehicle technology and a cloud computing technology, the strong computing power of the cloud server is fully utilized, the number of statistical samples is increased, and a more reasonable and accurate SOH estimation result is obtained.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may be referred to a method for adjusting the SOH value of the battery provided in any embodiment of the present invention, and are not described herein again.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may be referred to a method for adjusting the SOH value of the battery provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for adjusting the SOH value of a battery is characterized by comprising the following steps:
the method comprises the steps that a remote server obtains battery SOH values corresponding to a plurality of vehicles to be tested respectively, and battery grouping division is carried out on the battery SOH values corresponding to the vehicles to be tested according to a preset rule to obtain a plurality of battery grouping sets;
the remote server acquires a corresponding battery SOH initial value in the battery grouping set according to the battery grouping set;
the remote server calculates a battery SOH target value and a battery SOH basic value corresponding to the battery grouping set through a normal distribution algorithm according to the battery SOH initial value;
the remote server detects whether the initial value of the battery SOH is smaller than the base value of the battery SOH to obtain a detection result;
the remote server generates a high-risk vehicle list according to the detection result, and sends the battery SOH target value and the battery SOH initial value to a target vehicle terminal according to the high-risk vehicle list;
and the target vehicle terminal adjusts the initial value of the battery SOH according to the target value of the battery SOH.
2. The method of claim 1, wherein before the step of obtaining a plurality of battery SOH values corresponding to the vehicles to be tested by the remote server, and dividing the battery SOH values corresponding to the vehicles to be tested into battery groups according to a preset rule, the method further comprises:
the remote server acquires battery operation data corresponding to a plurality of vehicles to be processed respectively;
and the remote server respectively calculates the SOH value of the battery corresponding to each vehicle to be processed through a preset analysis algorithm according to the battery operation data corresponding to each vehicle to be processed.
3. The method of claim 1, wherein the step of the remote server detecting whether the initial value of the battery SOH is less than the base value of the battery SOH and obtaining the detection result comprises:
the remote server judges whether the initial value of the battery SOH is smaller than the base value of the battery SOH;
and the remote server acquires the initial value of the battery SOH corresponding to the base value of the battery SOH, and takes the initial value of the battery SOH as a detection result.
4. The method of claim 3, wherein the step of the remote server generating a high-risk vehicle list according to the detection result and transmitting the battery SOH target value and the battery SOH initial value to a target vehicle terminal according to the high-risk vehicle list comprises:
the remote server acquires a corresponding battery SOH target value according to the battery SOH initial value;
the remote server establishes a high-risk vehicle list according to the battery SOH target value and the battery SOH initial value;
the remote server acquires the battery SOH target value and the battery SOH initial value from the high-risk vehicle list;
the remote server transmits the battery SOH target value and the battery SOH initial value to a target vehicle terminal.
5. The method of claim 4, wherein the step of the target vehicle terminal adjusting the initial value of battery SOH based on the target value of battery SOH comprises:
the target vehicle terminal judges whether the target value of the battery SOH and the initial value of the battery SOH are received or not;
the target vehicle terminal detects whether data abnormality exists in the initial value of the battery SOH when receiving the target value of the battery SOH and the initial value of the battery SOH;
and when the target vehicle terminal detects that the initial value of the battery SOH has data abnormity, adjusting the initial value of the battery SOH according to the target value of the battery SOH by a preset adjustment rule.
6. A battery SOH value adjustment system is characterized by comprising a remote server and a target vehicle terminal;
the remote server is used for acquiring battery SOH values corresponding to a plurality of vehicles to be tested respectively, and performing battery grouping division on the battery SOH values corresponding to the vehicles to be tested according to a preset rule to acquire a plurality of battery grouping sets;
the remote server is further used for acquiring a corresponding battery SOH initial value in the battery grouping set according to the battery grouping set;
the remote server is further used for calculating a battery SOH target value and a battery SOH basic value corresponding to the battery grouping set through a normal distribution algorithm according to the battery SOH initial value;
the remote server is further used for detecting whether the initial value of the battery SOH is smaller than the base value of the battery SOH to obtain a detection result;
the remote server is further used for generating a high-risk vehicle list according to the detection result, and sending the battery SOH target value and the battery SOH initial value to a target vehicle terminal according to the high-risk vehicle list;
and the target vehicle terminal is used for adjusting the initial value of the battery SOH according to the target value of the battery SOH.
7. The system of claim 6, wherein the remote server is further configured to obtain battery operating data corresponding to each of the plurality of vehicles to be processed;
and the remote server is also used for respectively calculating the SOH value of the battery corresponding to each vehicle to be processed through a preset analysis algorithm according to the battery operation data corresponding to each vehicle to be processed.
8. The system of claim 6, wherein the remote server is further configured to determine whether the initial value of battery SOH is less than the base value of battery SOH;
the remote server is further configured to obtain an initial value of the battery SOH that is smaller than the base value of the battery SOH, and use the initial value of the battery SOH as a detection result.
9. The system of claim 8, wherein the remote server is further configured to obtain the corresponding battery SOH target value according to the initial value of the battery SOH;
the remote server is further used for establishing a high-risk vehicle list according to the battery SOH target value and the battery SOH initial value;
the remote server is further used for acquiring the battery SOH target value and the battery SOH initial value from the high-risk vehicle list;
the remote server is further used for sending the battery SOH target value and the battery SOH initial value to a target vehicle terminal.
10. The system of claim 9, wherein the target vehicle terminal is further configured to determine whether the target battery SOH value and the initial battery SOH value are received;
the target vehicle terminal is further used for detecting whether data abnormity exists in the initial value of the battery SOH when the target value of the battery SOH and the initial value of the battery SOH are received;
and the target vehicle terminal is also used for adjusting the initial value of the battery SOH according to the target value of the battery SOH and a preset adjustment rule when detecting that the initial value of the battery SOH has data abnormity.
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