CN113829952A - Battery control method and system of electric automobile and electric automobile - Google Patents
Battery control method and system of electric automobile and electric automobile Download PDFInfo
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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
-
- 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
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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]
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- 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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- 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
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
Abstract
The invention provides a battery control method and system of an electric automobile and the electric automobile, wherein the method comprises the following steps: the vehicle control unit transmits the battery data sent by the battery management system to the vehicle end SDK; the vehicle-end SDK obtains battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle end SDK according to model parameters of corresponding battery data sent by the cloud end; the vehicle-end SDK sends the received selection signal selected by the cloud end and the battery management parameter to a battery management system; and the battery management system selects corresponding parameters from the local battery management parameters and the battery management parameters to carry out battery management according to the selection signals. The invention can realize the accurate management of the whole life cycle of the electric automobile.
Description
Technical Field
The invention relates to the technical field of electric vehicle battery management, in particular to a battery control method and system of an electric vehicle and the electric vehicle.
Background
A Battery Management System (BMS) is an important component for managing a Battery of an electric vehicle, and detects and manages the Battery to prevent the Battery from abnormal situations such as over-discharge, over-charge, and over-temperature. And as the BMS develops more and more mature, the existing BMS basically can realize the real-time protection of the battery, but as the mechanism of the battery is more complex, various changeable reactions of an electrochemical mechanism exist, the multi-dimensional consistency of a battery core is difficult to control, and the battery is aged and the like. Under the condition that the computing power of the BMS is limited and the BMS can only receive the battery data of the electric automobile where the BMS is located, the BMS is difficult to realize the safety protection and management of the full life cycle of the battery.
Disclosure of Invention
In view of the foregoing problems, an object of the present invention is to provide a battery control method and system for an electric vehicle, and an electric vehicle, which can implement accurate management of the full life cycle of the electric vehicle.
In a first aspect, an embodiment of the present invention provides a battery control method for an electric vehicle, including:
the vehicle control unit transmits the battery data sent by the battery management system to the vehicle end SDK;
the vehicle end SDK obtains battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle end SDK according to model parameters corresponding to the battery data sent by a cloud end;
the vehicle end SDK sends the received selection signal selected by the cloud end and the battery management parameter to the battery management system;
and the battery management system selects corresponding parameters from local battery management parameters and the battery management parameters according to the selection signal to carry out battery management.
As an improvement of the above, the battery data includes: the battery relay state signal comprises a cell voltage, a cell temperature, a battery current, a battery state signal, a battery insulation signal and a battery relay state signal of the vehicle-end battery.
As an improvement of the above solution, the battery management parameters include: charging request current, battery available power limit value, battery capacity aging life SOHCValue, battery internal resistance aging life SOHRValue, and battery thermal management execution request.
As an improvement of the above scheme, the battery management system selects a corresponding parameter from a local battery management parameter and the battery management parameter according to the selection signal to perform battery management, and includes:
when the selection signal is a selection signal for executing local battery management, the battery management system adopts the local battery management parameters to carry out battery management;
when the selection signal is a selection signal for executing cloud battery management, the battery management system judges the validity of the battery management parameter according to state information carried by the battery management parameter;
when the battery management parameters are valid, the battery management parameters are adopted for battery management;
and when the battery management parameters are invalid, performing battery management by using the local battery management parameters.
As an improvement of the above, the method further comprises:
the cloud end carries out iterative updating on the battery aging model according to the battery data and the historical battery data to obtain an updated battery aging model;
the cloud end extracts the updated model parameters of the battery aging model and transmits the model parameters to the vehicle end SDK;
and the vehicle end SDK updates the battery aging model thereof according to the model parameters.
As an improvement of the above scheme, the cloud extracts the updated model parameters of the battery aging model and transmits the model parameters to the vehicle side SDK, including:
the cloud sends the model parameters to a TSP platform;
the TSP platform sends the model parameters to an on-vehicle TBOX;
and the vehicle-mounted TBOX carries out white box encryption on the model parameters and transmits the encrypted model parameters to the vehicle-end SDK.
As an improvement of the above, the selection signal includes: the selection signal of the charging request current, the selection signal of the available power limit value of the battery during the running of the vehicle, the selection signal of the aging life usage of the capacity of the battery, the selection signal of the aging life usage of the internal resistance of the battery and the selection signal of the thermal management execution request of the battery.
As an improvement of the above scheme, the sending, by the vehicle SDK, the received selection signal selected by the cloud and the battery management parameter to the battery management system includes:
the vehicle end SDK transmits the received selection signal selected by the cloud end and the battery management parameter to an MPU of the whole vehicle controller; the vehicle end SDK is installed on the MPU;
the MPU transmits the selection signal and the battery management parameters to an MCU of the whole vehicle controller;
and the MCU transmits the selection signal and the battery management parameters to the battery management system.
In a second aspect, an embodiment of the present invention provides an electric vehicle, including: the system comprises a vehicle control unit and a battery management system; the vehicle control unit is provided with a vehicle end SDK;
the vehicle control unit is used for transmitting the battery data sent by the battery management system to the vehicle end SDK;
the vehicle-end SDK is used for obtaining battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle end SDK according to model parameters corresponding to the battery data sent by a cloud end;
the vehicle-side SDK is used for sending the received selection signal selected by the cloud and the battery management parameter to the battery management system;
and the battery management system is used for selecting corresponding parameters from local battery management parameters and the battery management parameters according to the selection signal to carry out battery management.
In a third aspect, an embodiment of the present invention provides a battery control system for an electric vehicle, including: the system comprises a cloud terminal, a vehicle control unit and a battery management system; the vehicle control unit is provided with a vehicle end SDK;
the vehicle control unit is used for transmitting the battery data sent by the battery management system to the vehicle end SDK;
the vehicle-end SDK is used for obtaining battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle end SDK according to model parameters corresponding to the battery data sent by the cloud end;
the vehicle-side SDK is used for sending the received selection signal selected by the cloud and the battery management parameter to the battery management system;
and the battery management system is used for selecting corresponding parameters from local battery management parameters and the battery management parameters according to the selection signal to carry out battery management.
Compared with the prior art, the embodiment of the invention has the beneficial effects that: the vehicle control unit transmits the battery data acquired in real time to a battery aging model of the vehicle end SDK for calculation to obtain corresponding battery management parameters, wherein the battery aging model of the vehicle end SDK is updated through model parameters corresponding to the battery data sent by a cloud end, so that the accuracy of a vehicle end SDK calculation result can be effectively improved, the calculated battery management parameters are ensured to be suitable for the current battery state, and the accurate management of the whole life cycle of the electric vehicle is realized. Meanwhile, the battery management system selects corresponding parameters from the local battery management parameters and the battery management parameters according to the cloud selection signal to perform battery management, closed-loop control of the cloud to the vehicle-end battery management system can be achieved, and management efficiency of the vehicle-end battery is improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a battery control method for an electric vehicle according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of an electric vehicle internal communication provided by an embodiment of the invention;
fig. 3 is a schematic diagram of closed-loop control of a vehicle end and a cloud end according to an embodiment of the present invention;
fig. 4 is a schematic view of an electric vehicle according to a second embodiment of the present invention;
fig. 5 is a schematic diagram of a battery control system of an electric vehicle according to a third embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Referring to fig. 1, the present invention provides a battery control method for an electric vehicle, including:
s1: the vehicle control unit transmits the battery data sent by the battery management system to the vehicle end SDK;
for example, as shown in fig. 2, a charging control framework of an electric vehicle is that a vehicle control unit VCU includes an MCU and an MPU, a vehicle SDK is installed on the MPU, wherein the MCU is in communication connection with a battery management system BMS through a CAN bus, and the MCU and the MPU realize communication through a TCP/IP protocol; and the vehicle-end SDK is communicated with the vehicle-mounted TBOX through the SOME/IP protocol. The vehicle-mounted TBOX is communicated with the TSP platform at the cloud end through an MQTT/TLS protocol, so that closed-loop communication between the vehicle-end SDK and the BMS can be realized. When electric automobile is in charged state, BMS accessible CAN bus is connected with outside charging equipment for gather battery charging data.
The transmission process of the battery data collected by the battery management system in the electric automobile is as follows: the battery management system collects battery data in real time and transmits the battery data to the MCU of the whole vehicle controller, the MCU transmits the battery data to the MPU, and the MPU transmits the received battery data to the vehicle end SDK.
Further, the battery data includes: the battery relay state signal comprises a cell voltage, a cell temperature, a battery current, a battery state signal, a battery insulation signal and a battery relay state signal of the vehicle-end battery.
S2: the vehicle end SDK obtains battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle end SDK according to model parameters corresponding to the battery data sent by a cloud end;
further, the battery management parameters include: charging request current, battery available power limit value, battery capacity aging life SOHCValue, battery internal resistance aging life SOHRValue, and battery thermal management execution request.
Wherein, SOHCThe value represents the current capacity of the battery as a percentage of the factory capacity. SOHRThe value represents the percentage of the current internal resistance of the battery to the factory internal resistance. The battery thermal management execution request is used for indicating whether the battery is subjected to temperature control and the temperature in the temperature control process. The charging request current is used for indicating a current value for requesting charging to the charging pile.
Illustratively, the cloud end creates a battery aging model in advance, and the battery aging model can be obtained by training a machine learning model or a deep neural network according to historical battery data of vehicles of the same type, so that the cloud end has big data analysis capability and fully considers different vehicles and historical battery data thereof for battery analysis.
The battery data acquired at the current moment are output to the battery aging model, and the battery aging model can be further updated in an iterative manner, so that battery management parameters matched with the current aging degree of the battery can be predicted through the updated battery aging model, and meanwhile, in order to avoid the situation that the electric automobile is disconnected from the cloud end communication or the situation that the battery data sent to the cloud end by the vehicle-mounted TBOX is lost, in the embodiment of the invention, after the battery aging model of the cloud end is updated, the updated model parameters are sent to the vehicle-mounted TBOX and are forwarded to the vehicle-end SDK through the vehicle-mounted TBOX; and the vehicle-end SDK updates the local battery aging model according to the updated model parameters, so that the battery management parameters matched with the current aging degree of the battery can be predicted through the updated battery aging model according to the battery data at the current moment.
S3: the vehicle end SDK sends the received selection signal selected by the cloud end and the battery management parameter to the battery management system;
further, the selection signal includes: the selection signal of the charging request current, the selection signal of the available power limit value of the battery during the running of the vehicle, the selection signal of the aging life usage of the capacity of the battery, the selection signal of the aging life usage of the internal resistance of the battery and the selection signal of the thermal management execution request of the battery.
S4: and the battery management system selects corresponding parameters from local battery management parameters and the battery management parameters according to the selection signal to carry out battery management.
For example, a user may issue a selection signal for performing cloud battery management or local battery management to the cloud terminal through the client terminal, or the cloud terminal performs big data analysis on the received battery data and historical battery data of different vehicles, and selects an optimal scheme from two management modes, namely cloud battery management and local battery management, so as to determine the selection signal. Or when the cloud receives the battery alarm information, the selection signal is determined based on the big data analysis result.
After determining that the battery is managed by the cloud end or the battery is managed by the BMS, the cloud end generates a corresponding selection signal, if the selection signal indicates that the battery is managed by the cloud end, the battery management parameters are adopted for battery management, and if the selection signal indicates that the battery is managed by the BMS, the local battery management parameters are adopted for battery management.
It should be noted that, after the BMS acquires the battery data, the BMS may perform battery aging analysis locally to obtain local battery management parameters for battery management. The battery management includes: and updating and setting the charging request current, the available power limit value of the battery during the running of the vehicle, the aging life of the battery capacity, the aging life of the internal resistance of the battery and the battery thermal management execution request.
In the embodiment of the invention, the vehicle control unit transmits the battery data acquired in real time to the battery aging model of the vehicle-side SDK for calculation to obtain the corresponding battery management parameters, wherein the battery aging model of the vehicle-side SDK is updated through the model parameters corresponding to the battery data sent by the cloud, so that the accuracy of the calculation result of the vehicle-side SDK can be effectively improved, the calculated battery management parameters are ensured to be suitable for the battery state at the current moment, and the accurate management of the full life cycle of the electric vehicle is realized. Meanwhile, the battery management system selects corresponding parameters from the local battery management parameters and the battery management parameters according to the cloud selection signal to perform battery management, closed-loop control of the cloud to the vehicle-end battery management system can be achieved, and as shown in fig. 3, management efficiency of the vehicle-end battery is improved.
In an optional embodiment, the sending, by the vehicle-side SDK, the received selection signal selected by the cloud and the battery management parameter to the battery management system includes:
the vehicle end SDK transmits the received selection signal selected by the cloud end and the battery management parameter to an MPU of the whole vehicle controller; the vehicle end SDK is installed on the MPU;
the MPU transmits the selection signal and the battery management parameters to an MCU of the whole vehicle controller;
and the MCU transmits the selection signal and the battery management parameters to the battery management system.
In an optional embodiment, the battery management system selects a corresponding parameter from a local battery management parameter and the battery management parameter according to the selection signal to perform battery management, including:
when the selection signal is a selection signal for executing local battery management, the battery management system adopts the local battery management parameters to carry out battery management;
when the selection signal is a selection signal for executing cloud battery management, the battery management system judges the validity of the battery management parameter according to state information carried by the battery management parameter;
when the battery management parameters are valid, the battery management parameters are adopted for battery management;
and when the battery management parameters are invalid, performing battery management by using the local battery management parameters.
The vehicle-side SDK performs validity determination while calculating battery management parameters, such as whether data is lost, whether a newly calculated value exceeds a calculated value in a previous aging stage, and the like, and generates valid/invalid state information. Taking the battery available power limit value as an example, when data for calculating the battery available power limit value is lost, or the newly calculated battery available power limit value exceeds the last calculated battery available power limit value, the battery available power limit value output by the vehicle-end SDK may be considered as an invalid state.
In the embodiment of the invention, when the battery is managed by the cloud terminal, the BMS reads the received state information of the battery management parameters, if the state information is identified as valid, the battery management parameters are directly adopted for battery management, otherwise, the battery management parameters calculated by the BMS are directly adopted for battery management, and the battery management parameters returned by the vehicle-end SDK are subjected to validity judgment, so that the situations that the calculation result of the vehicle-end SDK is inaccurate and the calculation result of the vehicle-end SDK exceeds the allowable limit value of the battery operation per se due to the loss of data in the internal transmission process of the vehicle end are avoided, and the error management of the battery by the cloud terminal is avoided.
In an optional embodiment, the method further comprises:
the cloud end carries out iterative updating on the battery aging model according to the battery data and the historical battery data to obtain an updated battery aging model;
the cloud end extracts the updated model parameters of the battery aging model and transmits the model parameters to the vehicle end SDK;
and the vehicle end SDK updates the battery aging model thereof according to the model parameters.
It should be noted that the cloud end can perform big data analysis based on the received battery data and historical battery data of different vehicles, and iteratively updates the battery aging model to obtain an updated battery aging model; the updated battery aging model is more suitable for predicting the battery management parameters of the current aging stage of the battery. The updated model parameters are sent to the vehicle-end SDK, so that the vehicle-end SDK updates the battery aging model of the vehicle-end SDK according to the received model parameters, the battery aging model of the vehicle-end SDK can be updated by the big data analysis result, a large amount of historical battery data does not need to be stored in the vehicle-end, and the requirement on the vehicle-end computing capacity is reduced; meanwhile, when the vehicle runs to a weak network or network-free environment, the battery management parameters can still be predicted by using the battery aging model of the vehicle-end SDK, and the accurate management of the full life cycle of the battery of the electric vehicle under the weak network or network-free condition is promoted.
In an optional embodiment, the cloud extracts the model parameters of the updated battery aging model and transmits the model parameters to the vehicle SDK, including:
the cloud sends the model parameters to a TSP platform;
the TSP platform sends the model parameters to an on-vehicle TBOX;
and the vehicle-mounted TBOX carries out white box encryption on the model parameters and transmits the encrypted model parameters to the vehicle-end SDK.
For example, as shown in fig. 2, the cloud is provided with a TSP platform for communicating with the vehicle TBOX; the big data platform is used for collecting and storing historical battery data of different vehicles; and the battery monitoring platform is provided with a battery aging model and is used for predicting battery management parameters through the battery aging model according to the latest received battery data and historical battery data, so that the battery aging degree and early warning monitoring are realized. Through setting up car end SDK at MPU to based on-vehicle TBOX and high in the clouds TSP platform communication, regard as the pivot of car end and high in the clouds with MPU, not only can transmit the high in the clouds and transmit big file, improve MPU's computing power, can also improve the ability of car end high in the clouds coordination, thereby realize more functions.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
1. the battery aging model of the vehicle end SDK is updated through the data returned by the cloud end, the accuracy of the calculation result of the vehicle end SDK can be effectively improved, and the calculated battery management parameters are suitable for the battery state at the current moment, so that the full life cycle of the electric vehicle is accurately managed. Meanwhile, when the vehicle runs to a weak network or network-free environment, the battery management parameters can still be predicted by using the battery aging model of the vehicle-end SDK, and the accurate management of the full life cycle of the battery of the electric vehicle under the weak network or network-free condition is promoted.
2. The battery management system selects corresponding parameters from the local battery management parameters and the battery management parameters according to the cloud selection signal to perform battery management, closed-loop control of the cloud to the vehicle-end battery management system can be achieved, and management efficiency of the vehicle-end battery is improved.
3. Through setting up car end SDK at MPU to MPU is as the pivot of car end and high in the clouds, not only can transmit the high in the clouds transmission to big file, improves MPU's computing power, can also improve the ability of car end high in the clouds coordination, thereby realizes more functions.
Example two
Referring to fig. 4, an embodiment of the present invention provides an electric vehicle, including: the system comprises a vehicle control unit 1 and a battery management system 2; the vehicle control unit 1 is provided with a vehicle end SDK 11;
the vehicle control unit 1 is configured to transmit the battery data sent by the battery management system 2 to the vehicle SDK 11;
the vehicle-end SDK11 is used for obtaining battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle-side SDK11 according to model parameters corresponding to the battery data sent by a cloud end;
the vehicle-side SDK11 is configured to send the received selection signal selected by the cloud and the battery management parameter to the battery management system 2;
and the battery management system 2 is used for selecting corresponding parameters from local battery management parameters and the battery management parameters according to the selection signals to carry out battery management.
In an alternative embodiment, the battery data includes: the battery relay state signal comprises a cell voltage, a cell temperature, a battery current, a battery state signal, a battery insulation signal and a battery relay state signal of the vehicle-end battery.
In an alternative embodiment, the battery management parameters include: charging request current, battery available power limit value, battery capacity aging life SOHCValue, battery internal resistance aging life SOHRValue, and battery thermal management execution request.
In an alternative embodiment, the battery management system 2 comprises:
the first control module is used for carrying out battery management by the battery management system by adopting the local battery management parameters when the selection signal is a selection signal for executing local battery management;
the validity judgment module is used for judging the validity of the battery management parameters by the battery management system according to the state information carried by the battery management parameters when the selection signal is a selection signal for executing cloud battery management;
the second control module is used for adopting the battery management parameters to manage the battery when the battery management parameters are effective;
and the third control module is used for adopting the local battery management parameters to carry out battery management when the battery management parameters are invalid.
In an optional embodiment, the vehicle-side SDK11 is configured to update a battery aging model of the vehicle-side SDK according to the model parameters sent by the cloud; and the model parameters are obtained by the cloud terminal after iterative updating of a battery aging model of the cloud terminal according to the battery data and historical battery data.
In an alternative embodiment, the electric vehicle further comprises an onboard TBOX;
the vehicle-mounted TBOX is used for white-box encrypting the model parameters sent by the cloud end and transmitting the encrypted model parameters to a vehicle end SDK 11; and the cloud sends the model parameters to the vehicle-mounted TBOX through a TSP platform.
In an alternative embodiment, the selection signal comprises: the selection signal of the charging request current, the selection signal of the available power limit value of the battery during the running of the vehicle, the selection signal of the aging life usage of the capacity of the battery, the selection signal of the aging life usage of the internal resistance of the battery and the selection signal of the thermal management execution request of the battery.
In an optional embodiment, the vehicle control unit 1 includes an MCU and an MPU; the MPU13 is provided with the vehicle end SDK 11;
the vehicle-side SDK11 is configured to transmit the received selection signal selected by the cloud and the battery management parameter to the MPU of the vehicle controller;
the MPU is used for transmitting the selection signal and the battery management parameters to the MCU of the whole vehicle controller;
and the MCU is used for transmitting the selection signal and the battery management parameters to the battery management system 2.
EXAMPLE III
Referring to fig. 5, an embodiment of the present invention provides a battery control system for an electric vehicle, including: the system comprises a cloud end 3, a vehicle control unit 1 and a battery management system 2; the vehicle control unit 1 is provided with a vehicle end SDK 11;
the vehicle control unit 1 is configured to transmit the battery data sent by the battery management system 2 to the vehicle SDK 11;
the vehicle-end SDK11 is used for obtaining battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle-side SDK11 according to the model parameters corresponding to the battery data sent by the cloud end 3;
the vehicle-side SDK11 is configured to send the received selection signal selected by the cloud and the battery management parameter to the battery management system 2;
and the battery management system 2 is used for selecting corresponding parameters from local battery management parameters and the battery management parameters according to the selection signals to carry out battery management.
In an alternative embodiment, the battery data includes: the battery relay state signal comprises a cell voltage, a cell temperature, a battery current, a battery state signal, a battery insulation signal and a battery relay state signal of the vehicle-end battery.
In an alternative embodiment, the battery management parameters include: charging request current, battery available power limit value, battery capacity aging life SOHCValue, battery internal resistance aging life SOHRValue, and battery thermal management execution request.
In an alternative embodiment, the battery management system 2 comprises:
the first control module is used for carrying out battery management by the battery management system by adopting the local battery management parameters when the selection signal is a selection signal for executing local battery management;
the validity judgment module is used for judging the validity of the battery management parameters by the battery management system according to the state information carried by the battery management parameters when the selection signal is a selection signal for executing cloud battery management;
the second control module is used for adopting the battery management parameters to manage the battery when the battery management parameters are effective;
and the third control module is used for adopting the local battery management parameters to carry out battery management when the battery management parameters are invalid.
In an alternative embodiment, the selection signal comprises: the selection signal of the charging request current, the selection signal of the available power limit value of the battery during the running of the vehicle, the selection signal of the aging life usage of the capacity of the battery, the selection signal of the aging life usage of the internal resistance of the battery and the selection signal of the thermal management execution request of the battery.
In an optional embodiment, the vehicle control unit 1 includes an MCU and an MPU; the MPU is provided with the vehicle end SDK 11;
the vehicle-side SDK11 is configured to transmit the received selection signal selected by the cloud and the battery management parameter to the MPU of the vehicle controller;
the MPU is used for transmitting the selection signal and the battery management parameters to the MCU of the whole vehicle controller;
and the MCU is used for transmitting the selection signal and the battery management parameters to the battery management system 2.
In an optional embodiment, the cloud end 3 is configured to iteratively update the battery aging model according to the battery data and the historical battery data to obtain an updated battery aging model;
the cloud end 3 is used for extracting the updated model parameters of the battery aging model and transmitting the model parameters to the vehicle end SDK 11;
and the vehicle end SDK11 is used for updating the battery aging model of the vehicle end according to the model parameters.
In an optional embodiment, the battery control system of the electric vehicle further comprises an onboard TBOX 4; the cloud end 3 is provided with a TSP platform;
the cloud end 3 is used for sending the model parameters to the TSP platform;
the TSP platform is used for sending the model parameters to an on-vehicle TBOX 4;
and the vehicle-mounted TBOX4 is used for carrying out white-box encryption on the model parameters and transmitting the encrypted model parameters to the vehicle-mounted SDK 11.
It should be noted that the working principle and the technical effect of the battery control system of the electric vehicle and the electric vehicle described in the second and third embodiments are the same as those of the first embodiment, and are not described herein again.
It should be noted that the above-described device embodiments are merely illustrative, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A battery control method of an electric vehicle is characterized by comprising the following steps:
the vehicle control unit transmits the battery data sent by the battery management system to the vehicle end SDK;
the vehicle end SDK obtains battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle end SDK according to model parameters corresponding to the battery data sent by a cloud end;
the vehicle end SDK sends the received selection signal selected by the cloud end and the battery management parameter to the battery management system;
and the battery management system selects corresponding parameters from local battery management parameters and the battery management parameters according to the selection signal to carry out battery management.
2. The battery control method of an electric vehicle according to claim 1, wherein the battery data includes: the battery relay state signal comprises a cell voltage, a cell temperature, a battery current, a battery state signal, a battery insulation signal and a battery relay state signal of the vehicle-end battery.
3. The battery control method of an electric vehicle according to claim 1, wherein the battery management parameters include: charging request current, battery available power limit value, battery capacity aging life SOHCValue, battery internal resistance aging life SOHRValue, and battery thermal management execution request.
4. The battery control method of claim 3, wherein the battery management system selects a corresponding parameter from a local battery management parameter and the battery management parameter according to the selection signal to perform battery management, and the method comprises:
when the selection signal is a selection signal for executing local battery management, the battery management system adopts the local battery management parameters to carry out battery management;
when the selection signal is a selection signal for executing cloud battery management, the battery management system judges the validity of the battery management parameter according to state information carried by the battery management parameter;
when the battery management parameters are valid, the battery management parameters are adopted for battery management;
and when the battery management parameters are invalid, performing battery management by using the local battery management parameters.
5. The battery control method of an electric vehicle according to claim 1, characterized by further comprising:
the cloud end carries out iterative updating on the battery aging model according to the battery data and the historical battery data to obtain an updated battery aging model;
the cloud end extracts the updated model parameters of the battery aging model and transmits the model parameters to the vehicle end SDK;
and the vehicle end SDK updates the battery aging model thereof according to the model parameters.
6. The battery control method of claim 5, wherein the cloud extracts the model parameters of the updated battery aging model and transmits the model parameters to the vehicle side SDK, and the method comprises the following steps:
the cloud sends the model parameters to a TSP platform;
the TSP platform sends the model parameters to an on-vehicle TBOX;
and the vehicle-mounted TBOX carries out white box encryption on the model parameters and transmits the encrypted model parameters to the vehicle-end SDK.
7. The battery control method of an electric vehicle according to claim 4, wherein the selection signal includes: the selection signal of the charging request current, the selection signal of the available power limit value of the battery during the running of the vehicle, the selection signal of the aging life usage of the capacity of the battery, the selection signal of the aging life usage of the internal resistance of the battery and the selection signal of the thermal management execution request of the battery.
8. The battery control method of claim 1, wherein the sending, by the vehicle SDK, the received selection signal selected by the cloud and the battery management parameter to the battery management system comprises:
the vehicle end SDK transmits the received selection signal selected by the cloud end and the battery management parameter to an MPU of the whole vehicle controller; the vehicle end SDK is installed on the MPU;
the MPU transmits the selection signal and the battery management parameters to an MCU of the whole vehicle controller;
and the MCU transmits the selection signal and the battery management parameters to the battery management system.
9. An electric vehicle, comprising: the system comprises a vehicle control unit and a battery management system; the vehicle control unit is provided with a vehicle end SDK;
the vehicle control unit is used for transmitting the battery data sent by the battery management system to the vehicle end SDK;
the vehicle-end SDK is used for obtaining battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle end SDK according to model parameters corresponding to the battery data sent by a cloud end;
the vehicle-side SDK is used for sending the received selection signal selected by the cloud and the battery management parameter to the battery management system;
and the battery management system is used for selecting corresponding parameters from local battery management parameters and the battery management parameters according to the selection signal to carry out battery management.
10. A battery control system for an electric vehicle, comprising: the system comprises a cloud terminal, a vehicle control unit and a battery management system; the vehicle control unit is provided with a vehicle end SDK;
the vehicle control unit is used for transmitting the battery data sent by the battery management system to the vehicle end SDK;
the vehicle-end SDK is used for obtaining battery management parameters according to the battery data and a preset battery aging model; the battery aging model is updated by the vehicle end SDK according to model parameters corresponding to the battery data sent by the cloud end;
the vehicle-side SDK is used for sending the received selection signal selected by the cloud and the battery management parameter to the battery management system;
and the battery management system is used for selecting corresponding parameters from local battery management parameters and the battery management parameters according to the selection signal to carry out battery management.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114553873A (en) * | 2022-02-27 | 2022-05-27 | 重庆长安汽车股份有限公司 | SOA-based vehicle cloud cooperative control system and method and readable storage medium |
| CN114650309A (en) * | 2022-03-08 | 2022-06-21 | 青岛瑰宝电子科技有限公司 | Control method and battery BMS system control method |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104795599A (en) * | 2014-01-16 | 2015-07-22 | 罗伯特·博世有限公司 | Battery management method and battery management system |
| CN105005222A (en) * | 2015-06-12 | 2015-10-28 | 山东省科学院自动化研究所 | New-energy electric automobile overall performance improving system and method based on big data |
| CN105789716A (en) * | 2016-03-03 | 2016-07-20 | 北京交通大学 | Generalized battery management system |
| CN107959708A (en) * | 2017-10-24 | 2018-04-24 | 北京邮电大学 | A kind of car networking service collaboration computational methods and system based on high in the clouds-marginal end-car end |
| CN108749607A (en) * | 2018-05-23 | 2018-11-06 | 清华大学深圳研究生院 | A kind of electric automobile power battery management and monitoring system based on cloud computing |
| CN108896919A (en) * | 2018-06-19 | 2018-11-27 | 爱驰汽车有限公司 | Evaluation method, device and the battery management system of battery aging status |
| CN110098437A (en) * | 2019-05-10 | 2019-08-06 | 天津科技大学 | A kind of new-energy automobile power battery aging analysis system |
| CN110386027A (en) * | 2019-06-19 | 2019-10-29 | 东北大学 | The battery for electric automobile management system that cloud computing and edge calculations combine |
| CN110416636A (en) * | 2019-06-26 | 2019-11-05 | 北京航空航天大学 | A kind of power battery management system and method based on cloud data management |
| CN110549902A (en) * | 2018-03-30 | 2019-12-10 | 比亚迪股份有限公司 | Cloud server, electric automobile and management system and method of power battery in electric automobile |
| CN110855749A (en) * | 2019-10-21 | 2020-02-28 | 南京金邦动力科技有限公司 | Battery pack cloud management and big data analysis system |
| WO2020071734A1 (en) * | 2018-10-02 | 2020-04-09 | ㈜티에스식스티즈 | Smart slave battery management system and operating method therefor |
| US20200198494A1 (en) * | 2016-03-18 | 2020-06-25 | Nio Nextev Limited | Cloud storage-based system and method for electric vehicle battery exchange |
| CN112186276A (en) * | 2019-07-01 | 2021-01-05 | 上海耦荷科技有限公司 | Battery management system and method for power battery based on Internet of things |
| CN112331941A (en) * | 2020-11-20 | 2021-02-05 | 中国科学技术大学 | Cloud auxiliary battery management system and method |
| CN112714156A (en) * | 2020-12-18 | 2021-04-27 | 北京新能源汽车技术创新中心有限公司 | Cloud BMS (battery management system) cooperative management method and system and vehicle |
| US20210229568A1 (en) * | 2020-01-24 | 2021-07-29 | Toyota Research Institute, Inc. | System and method for controlling a battery management system |
-
2021
- 2021-09-29 CN CN202111150647.9A patent/CN113829952A/en active Pending
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104795599A (en) * | 2014-01-16 | 2015-07-22 | 罗伯特·博世有限公司 | Battery management method and battery management system |
| CN105005222A (en) * | 2015-06-12 | 2015-10-28 | 山东省科学院自动化研究所 | New-energy electric automobile overall performance improving system and method based on big data |
| CN105789716A (en) * | 2016-03-03 | 2016-07-20 | 北京交通大学 | Generalized battery management system |
| US20200198494A1 (en) * | 2016-03-18 | 2020-06-25 | Nio Nextev Limited | Cloud storage-based system and method for electric vehicle battery exchange |
| CN107959708A (en) * | 2017-10-24 | 2018-04-24 | 北京邮电大学 | A kind of car networking service collaboration computational methods and system based on high in the clouds-marginal end-car end |
| CN110549902A (en) * | 2018-03-30 | 2019-12-10 | 比亚迪股份有限公司 | Cloud server, electric automobile and management system and method of power battery in electric automobile |
| CN108749607A (en) * | 2018-05-23 | 2018-11-06 | 清华大学深圳研究生院 | A kind of electric automobile power battery management and monitoring system based on cloud computing |
| CN108896919A (en) * | 2018-06-19 | 2018-11-27 | 爱驰汽车有限公司 | Evaluation method, device and the battery management system of battery aging status |
| WO2020071734A1 (en) * | 2018-10-02 | 2020-04-09 | ㈜티에스식스티즈 | Smart slave battery management system and operating method therefor |
| CN110098437A (en) * | 2019-05-10 | 2019-08-06 | 天津科技大学 | A kind of new-energy automobile power battery aging analysis system |
| CN110386027A (en) * | 2019-06-19 | 2019-10-29 | 东北大学 | The battery for electric automobile management system that cloud computing and edge calculations combine |
| CN110416636A (en) * | 2019-06-26 | 2019-11-05 | 北京航空航天大学 | A kind of power battery management system and method based on cloud data management |
| CN112186276A (en) * | 2019-07-01 | 2021-01-05 | 上海耦荷科技有限公司 | Battery management system and method for power battery based on Internet of things |
| CN110855749A (en) * | 2019-10-21 | 2020-02-28 | 南京金邦动力科技有限公司 | Battery pack cloud management and big data analysis system |
| US20210229568A1 (en) * | 2020-01-24 | 2021-07-29 | Toyota Research Institute, Inc. | System and method for controlling a battery management system |
| CN112331941A (en) * | 2020-11-20 | 2021-02-05 | 中国科学技术大学 | Cloud auxiliary battery management system and method |
| CN112714156A (en) * | 2020-12-18 | 2021-04-27 | 北京新能源汽车技术创新中心有限公司 | Cloud BMS (battery management system) cooperative management method and system and vehicle |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114553873A (en) * | 2022-02-27 | 2022-05-27 | 重庆长安汽车股份有限公司 | SOA-based vehicle cloud cooperative control system and method and readable storage medium |
| CN114650309A (en) * | 2022-03-08 | 2022-06-21 | 青岛瑰宝电子科技有限公司 | Control method and battery BMS system control method |
| CN114650309B (en) * | 2022-03-08 | 2023-11-10 | 青岛瑰宝电子科技有限公司 | Control method and battery BMS system control method |
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