CN114148218B - Method and device for updating SOP parameter value of battery system and electric automobile - Google Patents

Method and device for updating SOP parameter value of battery system and electric automobile Download PDF

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Publication number
CN114148218B
CN114148218B CN202010931685.7A CN202010931685A CN114148218B CN 114148218 B CN114148218 B CN 114148218B CN 202010931685 A CN202010931685 A CN 202010931685A CN 114148218 B CN114148218 B CN 114148218B
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parameter value
management system
sop
battery management
sop parameter
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CN114148218A (en
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何晓磊
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Beiqi Foton Motor Co Ltd
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Beiqi Foton Motor Co Ltd
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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
    • 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]
    • 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
    • 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
    • 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

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Mechanical Engineering (AREA)
  • Sustainable Energy (AREA)
  • Sustainable Development (AREA)
  • Transportation (AREA)
  • Life Sciences & Earth Sciences (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)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

The invention discloses a method for updating SOP parameter values of a battery system and an electric automobile, and relates to the field of vehicle control. The method comprises the following steps: the battery management system sends the fault alarm and snapshot data to the big data server, the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system, and the battery management system updates the existing SOP parameter value by using the latest SOP parameter value. The invention ensures that the working mode of the battery system is more in line with the current running state of the vehicle, the overall vehicle condition and the use habit of a user, prolongs the service life of the battery, can avoid frequent current and voltage fault alarm caused by overlong response time of the power system or shorter duration of output peak power of the battery due to aging reasons, realizes self-learning SOP parameter values in various factors such as the actual running state, the overall vehicle condition and the use habit of the user, and greatly improves the use feeling of the user.

Description

Method and device for updating SOP parameter value of battery system and electric automobile
Technical Field
The present invention relates to the field of vehicle control, and in particular, to a method and an apparatus for updating a SOP parameter value of a battery system, and an electric vehicle.
Background
The new energy is the development trend of the automobile, the technology of the electric automobile using the battery as the power source is developed very rapidly in recent years, the battery system is used as one of the core components of the electric automobile, and various parameters of the battery system are important bases for determining the working state of the electric automobile.
The State of power (SOP) of a battery system is an important parameter of the State of the battery system, and the current table formed by the SOP parameter values is generally provided by a battery manufacturer, which is a two-dimensional SOP table queried based on the SOC (State of Charge) and the battery temperature.
In general, the parameter values in the SOP table are more accurate when the battery is initially operated. However, if a vehicle controller, a vehicle power system, etc. which are poorly matched are encountered, or if a battery is operated for a period of time to produce factors such as aging, current and voltage faults frequently occur, because parameter values in the SOP table cannot be corrected in time according to data such as actual vehicle conditions, running states, etc. of the vehicle.
Disclosure of Invention
In view of the above, the present invention provides a method and apparatus for updating the SOP parameter value of a battery system, and an electric vehicle, which solve the above problems.
The embodiment of the invention provides a method for updating SOP parameter values of a battery system, which comprises the following steps:
the battery management system sends a fault alarm to the big data server;
the battery management system sends snapshot data to the big data server, wherein the snapshot data is data required for calibrating the SOP parameter value aiming at the fault alarm;
the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system;
the battery management system updates its own existing SOP parameter value with the latest SOP parameter value.
Optionally, the fault alarm includes: alarming a current fault; the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system, and the big data server comprises:
the big data server determines whether the current fault alarm is caused by overlong response time according to historical data, wherein the response time is required by a power system of a vehicle when the power system effectively responds to the requirement of the battery management system;
the big data server analyzes the snapshot data to obtain target response time under the condition that the current fault alarm is caused by the overlong response time, wherein the target response time is the time actually spent by the power system when the power system effectively responds to the requirement of the battery management system;
The big data server draws a gradient curve of target response time-SOP parameter values according to the target response time and the snapshot data;
the big data server calculates and obtains the latest SOP parameter value according to the gradient curve and sends the latest SOP parameter value to the battery management system;
and under the condition that the big data server determines that the current fault alarm is not caused by the overlong response time, analyzing the reason of the current fault alarm according to the snapshot data, and feeding back the reason to the battery management system.
Optionally, the fault alarm includes: alarming voltage faults; the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system, and the big data server comprises:
the big data server analyzes the snapshot data to obtain duration time, wherein the duration time is the duration time for the battery system to continuously output current with the SOP parameter value;
and the big data server calculates and obtains the latest SOP parameter value according to the duration time and the snapshot data and sends the latest SOP parameter value to the battery management system.
Optionally, before the big data server analyzes the snapshot data for a duration, the method further comprises:
The big data server determines whether the actual use time of the battery system is longer than a preset time;
and under the condition that the actual use time is longer than the preset time, the big data server executes the following steps: analyzing the snapshot data to obtain a duration;
the big data server analyzes the reason of the voltage fault alarm according to the snapshot data and feeds back the reason to the battery management system under the condition that the actual use time is not longer than the preset time;
optionally, the big data server determines the latest SOP parameter value according to the snapshot data, and sends the latest SOP parameter value to the battery management system, including:
the big data server determines whether the current fault alarm is caused by the fact that a vehicle runs under special road conditions according to the snapshot data;
the big data server analyzes the snapshot data to obtain special road condition response time when determining that the current fault alarm is caused by the vehicle running under the special road condition, wherein the special road condition response time is actually spent by the power system when effectively responding to the battery management system requirement under the special road condition;
the big data server draws a gradient curve of the special road condition response time-SOP parameter value according to the special road condition response time and the snapshot data, and generates the special road condition SOP parameter value according to the gradient curve;
And the big data server sends the special road condition SOP parameter value to the battery management system.
Optionally, before the battery management system sends the fault alarm to the big data server, the method further comprises:
the battery management system receives special road condition zone bits, wherein the special road condition zone bits are sent by the remote information processor and represent the fact that the vehicle is about to enter a special road condition;
and the battery management system changes the currently used SOP parameter value into the SOP parameter value of the special road condition according to the special road condition zone bit.
The embodiment of the invention also provides a method for updating the SOP parameter value of the battery system, which comprises the following steps:
the big data server receives a fault alarm sent by the battery management system;
the big data server receives snapshot data sent by the battery management system, wherein the snapshot data is data required for calibrating the SOP parameter value aiming at the fault alarm;
and the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system.
Optionally, the fault alarm includes: alarming a current fault; the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system, and the big data server comprises:
The big data server determines whether the current fault alarm is caused by overlong response time according to historical data, wherein the response time is required by a power system of a vehicle when the power system effectively responds to the requirement of the battery management system;
the big data server analyzes the snapshot data to obtain target response time under the condition that the current fault alarm is caused by the overlong response time, wherein the target response time is the time actually spent by the power system when the power system effectively responds to the requirement of the battery management system;
the big data server draws a gradient curve of target response time-SOP parameter values according to the target response time and the snapshot data;
the big data server calculates and obtains the latest SOP parameter value according to the gradient curve and sends the latest SOP parameter value to the battery management system;
and under the condition that the big data server determines that the current fault alarm is not caused by the overlong response time, analyzing the reason of the current fault alarm according to the snapshot data, and feeding back the reason to the battery management system.
Optionally, the fault alarm includes: alarming voltage faults; the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system, and the big data server comprises:
The big data server analyzes the snapshot data to obtain duration time, wherein the duration time is the duration time for the battery system to continuously output current with the SOP parameter value;
and the big data server calculates and obtains the latest SOP parameter value according to the duration time and the snapshot data and sends the latest SOP parameter value to the battery management system.
Optionally, before the big data server analyzes the snapshot data for a duration, the method further comprises:
the big data server determines whether the actual use time of the battery system is longer than a preset time;
and under the condition that the actual use time is longer than the preset time, the big data server executes the following steps: analyzing the snapshot data to obtain a duration;
the big data server analyzes the reason of the voltage fault alarm according to the snapshot data and feeds back the reason to the battery management system under the condition that the actual use time is not longer than the preset time;
optionally, the big data server determines the latest SOP parameter value according to the snapshot data, and sends the latest SOP parameter value to the battery management system, including:
the big data server determines whether the current fault alarm is caused by the fact that a vehicle runs under special road conditions according to the snapshot data;
The big data server analyzes the snapshot data to obtain special road condition response time when determining that the current fault alarm is caused by the vehicle running under the special road condition, wherein the special road condition response time is actually spent by the power system when effectively responding to the battery management system requirement under the special road condition;
the big data server draws a gradient curve of the special road condition response time-SOP parameter value according to the special road condition response time and the snapshot data, and generates the special road condition SOP parameter value according to the gradient curve;
and the big data server sends the special road condition SOP parameter value to the battery management system.
The embodiment of the invention also provides a method for updating the SOP parameter value of the battery system, which comprises the following steps:
the battery management system sends a fault alarm to the big data server;
the battery management system sends snapshot data to the big data server, wherein the snapshot data is data required for calibrating the SOP parameter value aiming at the fault alarm;
the battery management system obtains the latest SOP parameter value determined by the big data server according to the snapshot data;
The battery management system updates its own existing SOP parameter value with the latest SOP parameter value.
Optionally, before the battery management system sends the fault alarm to the big data server, the method further comprises:
the battery management system receives special road condition zone bits, wherein the special road condition zone bits are sent by the remote information processor and represent the fact that the vehicle is about to enter a special road condition;
and the battery management system changes the SOP parameter value currently used into the SOP parameter value of the special road condition according to the special road condition zone bit, wherein the SOP parameter value of the special road condition is generated and transmitted by the big data server and is used for SOP parameter values used when the vehicle runs under the special road condition.
The embodiment of the invention provides a device for updating SOP parameter values of a battery system, which comprises:
the receiving alarm module is used for receiving fault alarms sent by the battery management system;
the data receiving module is used for receiving snapshot data sent by the battery management system, wherein the snapshot data is data required for calibrating the SOP parameter value aiming at the fault alarm;
and the parameter value determining module is used for determining the latest SOP parameter value according to the snapshot data and sending the latest SOP parameter value to the battery management system.
Optionally, the fault alarm includes: alarming a current fault; the parameter value determining module comprises:
the response time unit is used for determining whether the current fault alarm is caused by overlong response time according to historical data, wherein the response time is required by a power system of a vehicle when the power system effectively responds to the requirement of the battery management system;
the analysis response time unit is used for analyzing the snapshot data to obtain target response time under the condition that the current fault alarm is determined to be caused by the overlong response time, wherein the target response time is the time actually spent by the power system when the power system effectively responds to the battery management system requirement;
the curve drawing unit is used for drawing a gradient curve of the target response time-SOP parameter value according to the target response time and the snapshot data;
the current alarm operation unit is used for obtaining the latest SOP parameter value through operation according to the gradient curve and sending the latest SOP parameter value to the battery management system;
and the current fault cause analysis unit is used for analyzing the cause of the current fault alarm according to the snapshot data and feeding back the cause to the battery management system under the condition that the current fault alarm is determined not to be caused by the overlong response time.
Optionally, the fault alarm includes: alarming voltage faults; the parameter value determining module further includes:
the analysis duration unit is used for analyzing the snapshot data to obtain duration time, wherein the duration time is the duration time for the battery system to continuously output current with the SOP parameter value;
and the voltage alarm operation unit is used for obtaining the latest SOP parameter value through operation according to the duration time and the snapshot data and sending the latest SOP parameter value to the battery management system.
Optionally, the apparatus further comprises:
a use time determining module for determining whether the actual use time of the battery system is longer than a preset time;
the execution module is used for executing the steps under the condition that the actual use time is longer than the preset time: analyzing the snapshot data to obtain a duration;
the voltage fault analysis module is used for analyzing the reason of the voltage fault alarm according to the snapshot data and feeding back the reason to the battery management system under the condition that the actual use time is not longer than the preset time;
optionally, the determining parameter value module further includes:
the special road condition determining unit is used for determining whether the current fault alarm is caused by the fact that the vehicle runs under the special road condition according to the snapshot data;
The special road condition response time analysis unit is used for analyzing the snapshot data to obtain special road condition response time when the current fault alarm is determined to be caused by the running of the vehicle under the special road condition, wherein the special road condition response time is the time actually spent by the power system when the power system effectively responds to the requirement of the battery management system under the special road condition;
the curve generation parameter drawing unit is used for drawing a gradient curve of the special road condition response time-SOP parameter value according to the special road condition response time and the snapshot data and generating the special road condition SOP parameter value according to the gradient curve;
and the sending unit is used for sending the special road condition SOP parameter value to the battery management system.
The embodiment of the invention also provides another device for updating the SOP parameter value of the battery system, which comprises:
the sending alarm module is used for sending the fault alarm to the big data server;
the data sending module is used for sending snapshot data to the big data server, wherein the snapshot data is data required for calibrating the SOP parameter value aiming at the fault alarm;
the parameter value obtaining module is used for obtaining the latest SOP parameter value determined by the big data server according to the snapshot data;
And the updating module is used for updating the self existing SOP parameter value by the latest SOP parameter value.
Optionally, the apparatus further comprises:
the special road condition sign bit receiving module is used for receiving special road condition sign bits which are sent by the remote information processor and represent the fact that the vehicle is about to enter the special road condition;
and the replacement parameter module is used for replacing the currently used SOP parameter value with a special road condition SOP parameter value according to the special road condition zone bit, wherein the special road condition SOP parameter value is generated and transmitted by the big data server and is used for SOP parameter values used when the vehicle runs under the special road condition.
The embodiment of the invention also provides an electric automobile, which comprises: the battery management system is in communication connection with the big data server;
the battery management system is used for executing part of the steps in the method for updating the SOP parameter value of the battery system, and the big data server is used for executing part of the steps in the method for updating the SOP parameter value of the battery system.
According to the method for updating the SOP parameter value of the battery system, the battery management system sends the fault alarm information and the snapshot data to the big data server, and then the big data server determines the latest SOP parameter value according to the snapshot data, and the battery management system updates the SOP parameter value into the latest SOP parameter value. The latest SOP parameter value is obtained according to the snapshot data, namely, the parameter value in the SOP table is ensured to be corrected in time along with the actual vehicle condition, running state and other data of the vehicle. By means of the mode, SOP parameter values are dynamically adjusted, the working mode of the battery system is more in line with the current running state of a vehicle, the overall vehicle condition and the use habit of a user, the service life of the battery can be prolonged, meanwhile, the situation that current and voltage faults frequently occur due to poor matching of a whole vehicle controller, a whole vehicle power system and the like or aging of the battery running for a period of time are avoided, and the use feeling of the user is improved.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a flow chart of a method for updating SOP parameter values of a battery system according to an embodiment of the present invention;
FIG. 2 is a flowchart of a second method for updating SOP parameter values of a battery system according to an embodiment of the present invention;
FIG. 3 is a flowchart of a third method for updating SOP parameter values of a battery system according to an embodiment of the present invention;
FIG. 4 is a block diagram of an apparatus for updating SOP parameter values of a battery system according to an embodiment of the present invention;
fig. 5 is a block diagram of another apparatus for updating a SOP parameter value of a battery system according to an embodiment of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The inventor finds that the current table formed by SOP parameter values of the battery system is provided by a battery manufacturer, the SOP parameter values are fixed, and the parameter values in the SOP table are more accurate at the initial stage of use of the battery, but after a period of use, the fixed SOP parameter values can not well enable the battery system to work due to various factors such as matching of the battery system or the whole vehicle controller VCU or the use habit of the whole vehicle power system or a user.
Based on the above problems, it has been proposed to comprehensively calculate the current SOP of the battery system according to different working conditions of actual use of the vehicle, and the scheme gets rid of the limitation of the traditional table look-up calculation of the SOP only according to the continuous and instantaneous charge and discharge ammeter provided by the battery manufacturer, so that the electric automobile can actually and effectively calculate and obtain the real-time SOP of the battery system under different working conditions, but the scheme has the following two problems according to the following two problems:
1. if the control of the VCU of the vehicle controller is poor, or the matching of the vehicle power system is poor, the change of the table lookup value of the BMS received in real time, that is, the current SOP parameter value changes, but the vehicle power system cannot respond to the changed SOP parameter value rapidly, the response time is long, and the battery may still work with a larger output current, which may cause the damage of the service life of the battery.
First specific example: if the battery output current corresponding to the motor output torque 100n.m is 100A, when the SOP parameter value changes according to the requirement of the SOP parameter value, the battery output current needs to be changed to 80A within 10 seconds, and the corresponding motor output torque is 80n.m. However, because the response time of the whole vehicle power system is too long, the motor output torque can only be reduced from 100N.m to 90N.m within 10 seconds, and the corresponding battery output current is also reduced from 100A to 90A, so that the BMS can send out a current fault alarm. The situation is not the current fault alarm caused by the reasons of short circuit of the battery and the like, the whole battery system is still normal, but frequent current fault alarms are caused by overlong response time, and the user experience is poor.
2. With the use of the battery, the output current of the battery system, especially the limit output current, actually becomes smaller along with the aging degree of the battery, but is not felt in general use, and a problem occurs in some limit vehicle conditions: the battery outputs current for the same time according to the SOP parameter value, the unaged type is that voltage failure cannot be triggered, but the voltage of the battery drops too fast due to aging of the battery, and voltage failure alarm is triggered.
Second specific example: assuming a battery limit output current of 100A, when the battery is not aged, it is possible to achieve a limit output of 100A maintained for 30 seconds, but the voltage of the battery is not lowered to the alarm voltage. When the battery ages, it is used normally without sense, but when the battery limit output 100A occurs, the voltage of the battery drops to an alarm voltage for less than 30 seconds, thus causing the BMS to issue a voltage failure alarm. The situation is not voltage fault alarm caused by factors such as battery incapacitation, and the battery system is normal, but frequent voltage fault alarm is caused by short duration of high current, and the experience of a user is poor.
The inventors repeatedly designed the above problems, and finally creatively put forward the method for updating the SOP parameter value of the battery system through a great deal of researches, calculation and actual measurement, and the method of the invention is described in detail below.
Referring to fig. 1, a flowchart of a method for updating a SOP parameter value of a battery system according to an embodiment of the present invention is shown, where the method for updating the SOP parameter value of the battery system includes:
step 101: the battery management system sends a fault alarm to the big data server.
In the embodiment of the invention, after the vehicle is started, the power-on self-test is performed, under the condition that each function is normal, the whole vehicle controller VCU normally controls the operation of the whole vehicle, and the BMS can send each operation parameter of the battery system to the VCU, so that the VCU combines various factors such as the parameters, the accelerator pedal information, the brake pedal information, the wheel end required torque, the gear information and the like to control the operation of the vehicle.
SOP parameter values in various operation parameters sent by the BMS affect parameters such as peak output current, continuous output current and actual power of the battery, and generally, when a new battery system is used in an initial stage, the SOP parameter values can meet the operation requirement of a vehicle unless the battery is short-circuited, a wiring fault, incapability of being charged and other major fault factors, and the voltage fault alarm cannot generally occur.
However, in the actual use process, due to the large number of mass production of electric automobiles, various factors such as huge number of components, assembly, debugging, user use habit and the like, the SOP parameter value of the new battery system may not be well matched with the running of the automobile, and the current and voltage fault alarm may occur. Whether it is a current fault alarm or a voltage fault alarm, the BMS will send specific alarm information to the VCU and the big data server.
Although the VCU can perform various data processing, the processing information is relatively large, and its processing capability is not very strong, so that correction and update of the SOP parameter value may be relatively slow, and processing of other information data may be affected. The big data server can be a cloud platform server or a server specially provided by vehicle manufacturers, has strong information data processing capability, and can interact data with the big data server through a 4G mobile network, a wireless network and the like.
But the BMS needs to send specific information of the fault alarm, whether it is VCU or big data server.
Step 102: the battery management system sends snapshot data to the big data server, wherein the snapshot data is data required for calibrating SOP parameter values aiming at fault alarm.
In the embodiment of the invention, the VCU or the big data server needs to receive the fault alarm, wherein the big data server also needs to receive snapshot data sent by the BMS, and the snapshot data is data required for calibrating the SOP parameter value aiming at the fault alarm. Specifically, it can be understood that: if the current fault alarm is performed, aiming at the current fault alarm, fault cause analysis, operation and the like are needed, and data such as battery output current, battery output power, actual response time of a power system, motor power and the like, which are collectively called snapshot data, may be needed; in case of voltage failure alarm, analysis, calculation, etc. of failure cause are required for the voltage failure alarm, and data such as battery operating voltage, battery output power, battery operating temperature, motor torque, etc. may be required, and these data are also collectively referred to as snapshot data.
When the BMS sends fault alarm to the VCU, the fault alarm CAN be transmitted through the CAN BUS, and the fault alarm needs to be carried out according to the rule of the CAN BUS; when the BMS sends snapshot data to the big data server, the snapshot data is transmitted in a mode of a 4G mobile network, a wireless network and the like, and when the snapshot data is transmitted, the BMS is in a fixed period, for example: the snapshot data is sent to the big data server 100 milliseconds, i.e., once every 100 milliseconds.
Step 103: the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system.
In the embodiment of the invention, after the big data server receives the fault alarm and the big data server receives the snapshot data, the big data server can determine the latest SOP parameter value after analysis and operation, namely, the big data server can determine the latest SOP parameter value according to the snapshot data and send the latest SOP parameter value to the BMS.
Specifically, in the case of a current fault alarm, the step of determining the latest SOP parameter value by the big data server includes:
step S1: and determining whether the current fault alarm is caused by overlong response time according to the historical data, wherein the response time is required by a power system of the vehicle to effectively respond to the requirement of a battery management system.
In the embodiment of the invention, under the condition of current fault alarm, the big data server firstly determines whether the current fault alarm is caused by overlong response time according to historical data, wherein the historical data is a database with huge data volume formed by various parameters of the vehicle in the previous running and various parameters of the same type of vehicle in the running, and the big data server can determine whether the current fault alarm is caused by overlong response time according to the database instead of the factors such as battery short circuit.
The response time is the time required for the power system of the vehicle to respond effectively to the demand of the battery management system, and is described in the first specific example above: when the SOP parameter value is changed, the battery output current 100A is required to be 80A in 10 seconds, and the response time is 10 seconds.
Step S2: under the condition that the current fault alarm is caused by overlong response time, the snapshot data is analyzed to obtain target response time, wherein the target response time is the time actually spent when the power system effectively responds to the requirement of the battery management system.
In the embodiment of the invention, under the condition that the current fault alarm is caused by overlong response time, the big data server can obtain the target response time by analyzing the snapshot data, wherein the target response time is the time actually spent by the power system when effectively responding to the requirement of the battery management system. As for the first specific example described above: because the response time of the whole vehicle power system is too long, the battery output current is reduced from 100A to 80A only after 20 seconds are spent, and then the target response time is 20 seconds.
Step S3: and drawing a gradient curve of the target response time-SOP parameter value according to the target response time and the snapshot data.
In the embodiment of the invention, after the target response time is determined, the big data server can draw a gradient curve of the target response time-SOP parameter value according to the target response time and snapshot data, and the gradient curve reflects the actual data of the vehicle in response to the SOP parameter value change of the power system of the whole vehicle under the actual vehicle condition level.
As for the first specific example described above: according to the SOP parameter value given by the manufacturer, when the SOP parameter value is changed, the output current 100A of the battery corresponding to the torque 100N.m of the motor output needs to be reduced to 80A within 10 seconds, and the output torque of the motor corresponding to the torque 80N.m. However, because the response time of the whole vehicle power system is too long, the battery output current is reduced from 100A to 80A only after 20 seconds, the gradient curve of the 20 second-SOP parameter value is definitely different from the gradient curve of the 10 second-SOP parameter value, and if the SOP parameter value given by a manufacturer is still used, the current fault alarm is definitely generated. After a 20 second-SOP parameter value gradient curve is redrawn, SOP parameter values can be recalibrated according to the new gradient curve.
Step S4: and according to the gradient curve, calculating to obtain the latest SOP parameter value and sending the latest SOP parameter value to the battery management system.
In the embodiment of the invention, after the gradient curve of the target response time-SOP parameter value is drawn, the big data server can calculate according to the gradient curve, finally obtain a latest SOP parameter value and send the latest SOP parameter value to the battery management system, and the current fault alarm caused by overlong response time can be avoided by adjusting the SOP parameter value.
As for the first specific example described above: after a gradient curve of 20 seconds-SOP parameter values is drawn, if the battery output current 92A corresponding to the torque 92N.m output by the motor is obtained through calculation and can be reduced to 80A within 10 seconds, the corresponding motor output torque is 80N.m, then according to the result, the SOP parameter value can be corrected from 100A to 92A, namely 92A is the latest SOP parameter value, and the problem that current fault alarm frequently occurs due to overlong response time can not occur any more by using the SOP parameter value, so that the experience of a user is improved well.
Of course, it can be understood that if it is determined that the current fault alarm is not caused by the excessively long response time of the power system, the big data server may analyze the specific cause of the current fault alarm according to the snapshot data and feed back to the BMS. For example: the specific reason for obtaining the current fault alarm is that the battery is internally short-circuited, and then the BMS is required to cut off the battery system on the premise of ensuring the safety of the vehicle so as to avoid more serious faults.
The above-mentioned current fault alarm may also be a special condition, in which the vehicle is running under a special road condition to generate a current fault alarm, where the special road condition is a poor road condition, for example: steeper slope road sections, non-paved asphalt ways and the like, vehicles run under the road conditions, the response of a motor or a wheel end can be greatly influenced, and current fault alarming can also occur.
If the vehicle runs under the daily good road conditions without any problem, combining map data, GPS positioning and the like, whether the vehicle runs under the special road conditions can be determined, and if current fault alarm occurs when the vehicle runs under the special road conditions, the current fault alarm can be determined to be caused by the vehicle running under the special road conditions; under the condition, the method for correcting the SOP parameter value by the big data server is similar to the method, snapshot data is analyzed to obtain special road condition response time, and the special road condition response time is the time actually spent by the power system when effectively responding to the requirement of the battery management system under the special road condition; and drawing a gradient curve of the special road condition response time-SOP parameter value according to the special road condition response time and the snapshot data, and generating the special road condition SOP parameter value according to the gradient curve. The SOP parameter value of the special road condition needs to form a SOP table alone, and cannot be used as an updated value of the existing SOP parameter value.
After the SOP parameter value of the special road condition is given, the VCU or TBOX in the vehicle can determine whether the vehicle is about to enter the special road condition at any time according to the map data and the GPS, if the vehicle is about to enter the special road condition, the TBOX sends a special road condition zone bit to the BMS, and the special road condition zone bit is used for representing that the vehicle is about to enter the special road condition; the BMS changes the SOP parameter value currently used into the SOP parameter value of the special road condition according to the zone bit of the special road condition, so that current fault alarm caused by overlong response time does not occur when the vehicle runs under the special road condition.
Of course, the special road condition SOP parameter value may be given after direct testing by the manufacturer, that is, before the vehicle is delivered to the user, the battery system already stores an SOP table formed by two SOP parameter values, one is a daily-use SOP table, and the other is a special road condition SOP table, so that before the vehicle enters the special road condition, the currently used SOP parameter value is replaced by the special road condition SOP parameter value. Of course, it can be understood that if the special road condition SOP parameter value provided by the manufacturer does not meet the above requirement, the special road condition SOP parameter value can be revised and updated again according to the above method.
And in case of a voltage failure alarm, the step of determining the latest SOP parameter value by the big data server includes:
step T1: analyzing the snapshot data to obtain duration time, wherein the duration time is the duration time for the battery system to continuously output current with the SOP parameter value;
in the embodiment of the invention, under the condition of voltage fault alarm, the big data server directly analyzes snapshot data to obtain the duration time, wherein the duration time is the duration time of the battery system to continuously output current with the SOP parameter value, and the duration time is slowly changed along with the service time of the battery and is definitely reduced.
As the aforementioned second specific example: the battery limit output current 100A may be maintained for 30 seconds, but the voltage of the battery does not drop to the alarm voltage, depending on the SOP parameter value given by the manufacturer. This is fully satisfactory at the initial use of the battery, but as the battery ages, there may be no sense when the battery limit output is not required at ordinary times, but when the battery limit output 100A is continued for only 25 seconds, the voltage of the battery drops to the alarm voltage, and the duration becomes 25 seconds.
Step T2: and according to the duration time and the snapshot data, calculating to obtain the latest SOP parameter value and sending the latest SOP parameter value to the battery management system.
In the embodiment of the invention, after the big data server analyzes the duration, the operation can be performed according to the duration and the snapshot data. Finally, a latest SOP parameter value is obtained and sent to the battery management system, and the SOP parameter value is adjusted to avoid voltage fault alarming caused by short duration of output peak power (namely battery limit output current) due to battery aging.
As for the second specific example described above: according to the SOP parameter value given by manufacturers, the battery limit output current 100A can last 30 seconds, but when the battery is aged and the battery limit output current 100A only lasts 25 seconds, the voltage of the battery can drop to the alarm voltage, then according to the conclusion, the result that the battery limit output current 88A can last 30 seconds and the voltage of the battery can not drop to the alarm voltage is obtained through calculation, according to the result, the SOP parameter value can be corrected from 100A to 88A, namely 88A is the latest SOP parameter value, and the problem that the voltage fault alarm frequently occurs due to shorter duration can not occur any more by using the SOP parameter value, so that the experience of a user is improved well.
It should be noted that, since the voltage failure alarm is not frequently generated due to the short duration time in the initial use period of the battery, a preset time may be set, and it is considered that the battery may be aged after the use time exceeds the preset time. For this reason, it is possible to first determine whether the actual use time of the battery system is longer than a preset time before analyzing the snapshot data for the duration; if the actual service time of the battery is longer than the preset time, executing step T1: analyzing the snapshot data to obtain duration; if the actual use time is not longer than the preset time, the reason of the voltage fault alarm is directly analyzed according to the snapshot data and fed back to the BMS. For example: the specific reason for obtaining the voltage failure alarm is that the battery cannot be charged normally, and then the BMS is required to cut off the battery system on the premise of ensuring the safety of the vehicle so as to avoid more serious failure.
It should be noted that, the preset time is a time which is obtained through a large amount of data analysis and accords with a general condition, and in the use process of each electric automobile, according to various factors such as use habits of users, maintenance measures, allocation and matching when the automobile leaves the factory, the use time of the battery does not exceed the preset time, but the situation that the duration of the battery does not reach the requirement actually occurs, or the use time of the battery exceeds the preset time, but the duration of the battery still can reach the requirement actually, so that the big data server can judge whether the battery is aged or not according to the standard that whether the actual use time of the battery exceeds the preset time, and the big data server can also judge whether the battery is aged or not through other modes, for example: comparing the degree of battery voltage drop after the non-limiting output current 60A is continuously output for 10 minutes at the initial stage of the battery with the degree of battery voltage drop after the non-limiting output current 60A is continuously output for 10 minutes after the battery is used for a period of time, and if the difference is too large, judging that the battery is aged.
Step 104: the battery management system updates its own existing SOP parameter value with the latest SOP parameter value.
In the embodiment of the invention, after the big data server obtains the latest SOP parameter value, the latest SOP parameter value is sent to the BMS, and after the BMS receives the latest SOP parameter value, the currently used SOP parameter value is updated to the latest SOP parameter value, so that current fault alarm can not occur frequently due to overlong response time of the whole vehicle power system, and voltage fault alarm can not occur frequently due to shorter duration of output peak power due to battery aging.
In summary, the method for updating the SOP parameter value of the battery system according to the embodiment of the invention can dynamically adjust the SOP parameter value according to the current fault alarm or the voltage fault alarm, and can be more close to the current actual running state, the vehicle condition and the user using habit of the vehicle, so that the working mode of the battery system is more suitable for the current running state, the whole vehicle condition and the user using habit of the vehicle.
Based on the above method for updating the SOP parameter value of the battery system, the embodiment of the invention further provides a method for updating the SOP parameter value of the battery system, referring to fig. 2, a flowchart of a second method for updating the SOP parameter value of the battery system according to the embodiment of the invention is shown, and the method is applied to a big data server, and the method includes:
step 201: and the big data server receives the fault alarm sent by the battery management system.
In the embodiment of the invention, the big data server receives the fault alarm sent by the BMS, and the fault alarm comprises: current fault alarms and voltage fault alarms. Details of the BMS sending the fault alarm can be found in the foregoing step 101.
Step 202: the big data server receives snapshot data sent by the battery management system, wherein the snapshot data is data required for calibrating SOP parameter values aiming at fault alarm.
In the embodiment of the present invention, in addition to receiving the fault alarm sent by the BMS, the big data server needs to receive the snapshot data sent by the BMS, and details of the snapshot data sent by the BMS may be referred to in the foregoing step 102, which is not repeated.
Step 203: the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system.
In the embodiment of the present invention, the detailed process of determining the latest SOP parameter value by the big data server in combination with different fault alarms and snapshot data can be described with reference to the foregoing step 103. The big data server transmits the latest SOP parameter value to the battery management system after obtaining the latest SOP parameter value.
Referring to fig. 3, a flowchart of a third method for updating a SOP parameter value of a battery system according to an embodiment of the present invention is shown, the method being applied to a battery management system, the method including:
step 301: the battery management system sends a fault alarm to the big data server.
In the embodiment of the invention, when the vehicle has fault alarm, the BMS sends the fault alarm to the big data server. Details of the BMS sending the fault alarm can be found in the foregoing step 101.
Step 302: the battery management system sends snapshot data to the big data server, wherein the snapshot data is data required for calibrating SOP parameter values aiming at fault alarm.
In the embodiment of the present invention, in addition to sending the fault alarm, the BMS will also send the snapshot data to the big data server, and details of sending the snapshot data by the BMS can be referred to in the foregoing step 102, which is not repeated.
Step 303: the battery management system obtains the latest SOP parameter value determined by the big data server according to the snapshot data.
In the embodiment of the present invention, the BMS receives the latest SOP parameter value, and the detailed process of determining the latest SOP parameter value is described with reference to the foregoing step 103.
Step 304: the battery management system updates its own existing SOP parameter value with the latest SOP parameter value.
In the embodiment of the invention, after the BMS receives the latest SOP parameter value, the BMS updates the existing SOP parameter value by using the latest SOP parameter value. And when the vehicle is about to enter the special road condition, the BMS needs to change the SOP parameter value currently used into the SOP parameter value of the special road condition. The details of the steps 103 to 104 can be referred to, and will not be described again.
Referring to fig. 4, a block diagram of an apparatus for updating a SOP parameter value of a battery system according to an embodiment of the present invention is shown, the apparatus including:
a receiving alarm module 410, configured to receive a fault alarm sent by the battery management system;
a receiving data module 420, configured to receive snapshot data sent by the battery management system, where the snapshot data is data required for calibrating the SOP parameter value for the fault alarm;
And a determining parameter value module 430, configured to determine a latest SOP parameter value according to the snapshot data, and send the latest SOP parameter value to the battery management system.
Optionally, the fault alarm includes: alarming a current fault; the determining parameter value module 430 includes:
the response time unit is used for determining whether the current fault alarm is caused by overlong response time according to historical data, wherein the response time is required by a power system of a vehicle when the power system effectively responds to the requirement of the battery management system;
the analysis response time unit is used for analyzing the snapshot data to obtain target response time under the condition that the current fault alarm is determined to be caused by the overlong response time, wherein the target response time is the time actually spent by the power system when the power system effectively responds to the battery management system requirement;
the curve drawing unit is used for drawing a gradient curve of the target response time-SOP parameter value according to the target response time and the snapshot data;
the current alarm operation unit is used for obtaining the latest SOP parameter value through operation according to the gradient curve and sending the latest SOP parameter value to the battery management system;
and the current fault cause analysis unit is used for analyzing the cause of the current fault alarm according to the snapshot data and feeding back the cause to the battery management system under the condition that the current fault alarm is determined not to be caused by the overlong response time.
Optionally, the fault alarm includes: alarming voltage faults; the determining parameter value module 430 further includes:
the analysis duration unit is used for analyzing the snapshot data to obtain duration time, wherein the duration time is the duration time for the battery system to continuously output current with the SOP parameter value;
and the voltage alarm operation unit is used for obtaining the latest SOP parameter value through operation according to the duration time and the snapshot data and sending the latest SOP parameter value to the battery management system.
Optionally, the apparatus further comprises:
a use time determining module for determining whether the actual use time of the battery system is longer than a preset time;
the execution module is used for executing the steps under the condition that the actual use time is longer than the preset time: analyzing the snapshot data to obtain a duration;
the voltage fault analysis module is used for analyzing the reason of the voltage fault alarm according to the snapshot data and feeding back the reason to the battery management system under the condition that the actual use time is not longer than the preset time;
optionally, the determining parameter value module 430 further includes:
the special road condition determining unit is used for determining whether the current fault alarm is caused by the fact that the vehicle runs under the special road condition according to the snapshot data;
The special road condition response time analysis unit is used for analyzing the snapshot data to obtain special road condition response time when the current fault alarm is determined to be caused by the running of the vehicle under the special road condition, wherein the special road condition response time is the time actually spent by the power system when the power system effectively responds to the requirement of the battery management system under the special road condition;
the curve generation parameter drawing unit is used for drawing a gradient curve of the special road condition response time-SOP parameter value according to the special road condition response time and the snapshot data and generating the special road condition SOP parameter value according to the gradient curve;
and the sending unit is used for sending the special road condition SOP parameter value to the battery management system.
Referring to fig. 5, a block diagram of another apparatus for updating a SOP parameter value of a battery system according to an embodiment of the present invention is shown, the apparatus including:
the sending alarm module 510 is configured to send a fault alarm to the big data server;
the data sending module 520 is configured to send snapshot data to the big data server, where the snapshot data is data required for calibrating the SOP parameter value for the fault alarm;
an obtain parameter value module 530, configured to obtain a latest SOP parameter value determined by the big data server according to the snapshot data;
An updating module 540, configured to update the existing SOP parameter value of the latest SOP parameter value.
Optionally, the apparatus further comprises:
the special road condition sign bit receiving module is used for receiving special road condition sign bits which are sent by the remote information processor and represent the fact that the vehicle is about to enter the special road condition;
and the replacement parameter module is used for replacing the currently used SOP parameter value with a special road condition SOP parameter value according to the special road condition zone bit, wherein the special road condition SOP parameter value is generated and transmitted by the big data server and is used for SOP parameter values used when the vehicle runs under the special road condition.
The embodiment of the invention also provides an electric automobile, which comprises: a battery management system;
the battery management system is in communication connection with the big data server;
the battery management system is used for executing part of steps in the method, and the big data server is used for executing part of steps in the method.
It is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus 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, or apparatus.
The foregoing description of embodiments of the invention, wherein specific examples are employed to illustrate the principles and implementations of the invention, is provided by way of example only to assist in understanding the methods and concepts underlying the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.

Claims (5)

1. A method of updating a battery system SOP parameter value, the method comprising:
the battery management system sends a fault alarm to the big data server;
the battery management system sends snapshot data to the big data server, wherein the snapshot data is data required for calibrating the SOP parameter value aiming at the fault alarm;
the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system;
the battery management system updates the self-existing SOP parameter value by using the latest SOP parameter value;
wherein, the fault alarm includes: alarming a current fault; the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system, and the big data server comprises:
The big data server determines whether the current fault alarm is caused by overlong response time according to historical data, wherein the response time is required by a power system of a vehicle when the power system effectively responds to the requirement of the battery management system;
the big data server analyzes the snapshot data to obtain target response time under the condition that the current fault alarm is caused by the overlong response time, wherein the target response time is the time actually spent by the power system when the power system effectively responds to the requirement of the battery management system;
the big data server draws a gradient curve of target response time-SOP parameter values according to the target response time and the snapshot data;
the big data server calculates and obtains the latest SOP parameter value according to the gradient curve and sends the latest SOP parameter value to the battery management system;
the big data server analyzes the reason of the current fault alarm according to the snapshot data and feeds back the reason to the battery management system under the condition that the current fault alarm is determined not to be caused by the overlong response time; or alternatively, the process may be performed,
the fault alarm comprises: alarming voltage faults; the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system, and the big data server comprises:
The big data server analyzes the snapshot data to obtain duration time, wherein the duration time is the duration time for the battery system to continuously output current with the SOP parameter value;
the big data server calculates and obtains the latest SOP parameter value according to the duration time and the snapshot data and sends the latest SOP parameter value to the battery management system;
the big data server determines the latest SOP parameter value according to the snapshot data and sends the latest SOP parameter value to the battery management system, and the big data server comprises:
the big data server determines whether the current fault alarm is caused by the fact that a vehicle runs under special road conditions according to the snapshot data;
the big data server analyzes the snapshot data to obtain special road condition response time when determining that the current fault alarm is caused by the vehicle running under the special road condition, wherein the special road condition response time is actually spent by the power system when effectively responding to the battery management system requirement under the special road condition;
the big data server draws a gradient curve of the special road condition response time-SOP parameter value according to the special road condition response time and the snapshot data, and generates the special road condition SOP parameter value according to the gradient curve;
And the big data server sends the special road condition SOP parameter value to the battery management system.
2. The method of claim 1, wherein prior to the big data server analyzing the snapshot data for duration, the method further comprises:
the big data server determines whether the actual use time of the battery system is longer than a preset time;
and under the condition that the actual use time is longer than the preset time, the big data server executes the following steps: analyzing the snapshot data to obtain a duration;
and under the condition that the actual use time is not longer than the preset time, the big data server analyzes the reason of the voltage fault alarm according to the snapshot data and feeds back the reason to the battery management system.
3. The method of claim 1, wherein before the battery management system sends the failure alarm to the big data server, the method further comprises:
the battery management system receives special road condition zone bits, wherein the special road condition zone bits are sent by the remote information processor and represent the fact that the vehicle is about to enter a special road condition;
and the battery management system changes the currently used SOP parameter value into the SOP parameter value of the special road condition according to the special road condition zone bit.
4. An apparatus for updating a battery system SOP parameter value, the apparatus comprising:
the receiving alarm module is used for receiving fault alarms sent by the battery management system;
the data receiving module is used for receiving snapshot data sent by the battery management system, wherein the snapshot data is data required for calibrating the SOP parameter value aiming at the fault alarm;
the parameter value determining module is used for determining the latest SOP parameter value according to the snapshot data and sending the latest SOP parameter value to the battery management system;
wherein, the fault alarm includes: alarming a current fault; the parameter value determining module comprises:
the response time unit is used for determining whether the current fault alarm is caused by overlong response time according to historical data, wherein the response time is required by a power system of a vehicle when the power system effectively responds to the requirement of the battery management system;
the analysis response time unit is used for analyzing the snapshot data to obtain target response time under the condition that the current fault alarm is determined to be caused by the overlong response time, wherein the target response time is the time actually spent by the power system when the power system effectively responds to the battery management system requirement;
The curve drawing unit is used for drawing a gradient curve of the target response time-SOP parameter value according to the target response time and the snapshot data;
the current alarm operation unit is used for obtaining the latest SOP parameter value through operation according to the gradient curve and sending the latest SOP parameter value to the battery management system;
the fault cause analysis unit is used for analyzing the cause of the current fault alarm according to the snapshot data and feeding back the cause to the battery management system under the condition that the current fault alarm is not caused by the overlong response time; or alternatively, the process may be performed,
the fault alarm comprises: alarming voltage faults; the parameter value determining module further includes:
the analysis duration unit is used for analyzing the snapshot data to obtain duration time, wherein the duration time is the duration time for the battery system to continuously output current with the SOP parameter value;
the voltage alarm operation unit is used for obtaining the latest SOP parameter value through operation according to the duration time and the snapshot data and sending the latest SOP parameter value to the battery management system;
the parameter value determining module further includes:
the special road condition determining unit is used for determining whether the current fault alarm is caused by the fact that the vehicle runs under the special road condition according to the snapshot data;
The special road condition response time analysis unit is used for analyzing the snapshot data to obtain special road condition response time when the current fault alarm is determined to be caused by the running of the vehicle under the special road condition, wherein the special road condition response time is the time actually spent by the power system when the power system effectively responds to the requirement of the battery management system under the special road condition;
the curve generation parameter drawing unit is used for drawing a gradient curve of the special road condition response time-SOP parameter value according to the special road condition response time and the snapshot data and generating the special road condition SOP parameter value according to the gradient curve;
and the sending unit is used for sending the special road condition SOP parameter value to the battery management system.
5. An electric automobile, characterized in that it comprises: the battery management system is in communication connection with the big data server;
the battery management system and the big data server are used together to execute the method for updating the SOP parameter value of the battery system as claimed in any one of claims 1-3.
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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105759780A (en) * 2015-11-30 2016-07-13 北京新能源汽车股份有限公司 Electric automobile, and communication fault processing method and apparatus thereof
CN105955146A (en) * 2016-06-27 2016-09-21 中国科学技术大学 Remote monitoring system for power battery pack of electric vehicle
CN108226797A (en) * 2018-01-02 2018-06-29 国机智骏（北京）汽车科技有限公司 The evaluation method of power battery SOP, device and with its vehicle
CN109116254A (en) * 2018-08-30 2019-01-01 北京经纬恒润科技有限公司 A kind of power battery power rating estimation function test method and device
CN109799463A (en) * 2019-01-18 2019-05-24 上海卡鲁自动化科技有限公司 The estimation and prediction technique of power battery SOC/SOH/SOP under actual operating mode based on big data method
CN109964138A (en) * 2016-11-25 2019-07-02 沃尔沃卡车集团 The method and device classified to the voltage fault condition in electronic storage system
CN110324382A (en) * 2018-03-30 2019-10-11 比亚迪股份有限公司 Electric car and its data processing system and data processing method
CN110949174A (en) * 2019-11-05 2020-04-03 北汽（常州）汽车有限公司 Battery system power state online estimation method under multiple working conditions of pure electric vehicle

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105759780A (en) * 2015-11-30 2016-07-13 北京新能源汽车股份有限公司 Electric automobile, and communication fault processing method and apparatus thereof
CN105955146A (en) * 2016-06-27 2016-09-21 中国科学技术大学 Remote monitoring system for power battery pack of electric vehicle
CN109964138A (en) * 2016-11-25 2019-07-02 沃尔沃卡车集团 The method and device classified to the voltage fault condition in electronic storage system
CN108226797A (en) * 2018-01-02 2018-06-29 国机智骏（北京）汽车科技有限公司 The evaluation method of power battery SOP, device and with its vehicle
CN110324382A (en) * 2018-03-30 2019-10-11 比亚迪股份有限公司 Electric car and its data processing system and data processing method
CN109116254A (en) * 2018-08-30 2019-01-01 北京经纬恒润科技有限公司 A kind of power battery power rating estimation function test method and device
CN109799463A (en) * 2019-01-18 2019-05-24 上海卡鲁自动化科技有限公司 The estimation and prediction technique of power battery SOC/SOH/SOP under actual operating mode based on big data method
CN110949174A (en) * 2019-11-05 2020-04-03 北汽（常州）汽车有限公司 Battery system power state online estimation method under multiple working conditions of pure electric vehicle

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