WO2019184850A1

WO2019184850A1 - Electric vehicle, and management system and method for power battery therein

Info

Publication number: WO2019184850A1
Application number: PCT/CN2019/079455
Authority: WO
Inventors: 邓林旺; 冯天宇; 杨子华; 林思岐; 吕纯
Original assignee: 比亚迪股份有限公司
Priority date: 2018-03-30
Filing date: 2019-03-25
Publication date: 2019-10-03
Also published as: CN110549902A

Abstract

Provided is a management system for a power battery in an electric vehicle. The system comprises a cloud server and a BMS disposed on an electric vehicle, wherein the BMS is used to collect a state parameter of a power battery in the electric vehicle, upload the state parameter to the cloud server, and adjust the power battery according to adjustment information sent by the cloud server; and the cloud server is used to generate the adjustment information of the power battery according to the state parameter of the power battery, and send the adjustment information to the BMS. The management system for a power battery in an electric vehicle can realize the effective management of the power battery and improve the usage efficiency of the power battery. Further involved are a management method for a power battery in an electric vehicle and an electric vehicle.

Description

Electric vehicle and management system and method thereof for power battery

Cross-reference to related applications

This application claims the priority of the Chinese patent application number "201810288680.X" submitted by BYD Co., Ltd. on March 30, 2018, entitled "Cloud Server, Electric Vehicle and Its Management System and Method for Power Battery" .

Technical field

The present application relates to the field of electric vehicles, and in particular to a power battery management system for an electric vehicle, a power battery management method for the electric vehicle, and an electric vehicle.

Background technique

Lithium-ion battery has been widely used in electric vehicles and storage as a green energy without environmental pollution due to its high energy density, high output voltage, good cycle performance, small self-discharge rate, fast charge and discharge, and high charging efficiency. Can be in the field of systems.

The traditional battery parameter update relies on BMS (Battery Management System). The main functions of BMS include: monitoring battery voltage, current, temperature, etc.; estimating battery SOC (State of Charge), SOH ( State of Health, SOE (State of Energy), SOP (State of Power), RM (Remaining Mileage), battery balancing management, battery thermal management, protection and diagnostics.

In order to more accurately measure the parameters of the battery, the conventional technical solution often prestores an OCV (Opening Circuit Voltage)-SOC curve for checking the estimated battery SOC. At the same time, some data is uploaded to the cloud backup by the BMS, so that the manufacturer or the after-sales can retrieve the data analysis fault and the battery history information.

The data currently uploaded to the cloud server includes: remaining battery power, total current of the battery pack, current total current of the battery pack, highest voltage battery number, highest single battery voltage, lowest voltage battery number, lowest single battery voltage, and highest temperature number. , the highest battery temperature, the lowest temperature number, the lowest battery temperature, the average temperature, the current capacity index of the battery pack, the nominal capacity, the available capacity, the total mileage, the EV mileage, and the like. Because the hardware storage space of the BMS is limited and cannot support the storage and upload of more data, the existing BMS algorithm does not support the analysis and processing of the uploaded data. The existing hardware does not support the return of the cloud data analysis and processing results to the BMS. Update the BMS pre-stored reference curve. Therefore, the above data is mainly used for information collection and tracking, and has little effect on battery management in the actual operation of electric vehicles, which will cause data waste to a certain extent.

Summary of the invention

The present application aims to solve at least one of the technical problems in the above-mentioned techniques to some extent. To this end, an object of the present application is to provide a management system for a power battery in an electric vehicle to achieve effective management of the power battery and improve the efficiency of use of the power battery.

A second object of the present application is to provide a method of managing a power battery in an electric vehicle.

A third object of the present application is to propose an electric vehicle.

A fourth object of the present application is to propose a cloud server.

In order to achieve the above object, the first aspect of the present application provides a management system for a power battery in an electric vehicle, including a cloud server and a BMS disposed on the electric vehicle, wherein the BMS is used for a collection center. State parameters of the power battery in the electric vehicle are uploaded to the cloud server, and the power battery is adjusted according to the adjustment information sent by the cloud server; the cloud server is configured to be based on the status of the power battery The parameter generates adjustment information of the power battery and transmits the adjustment information to the BMS.

According to the management system of the power battery in the electric vehicle according to the embodiment of the present application, the state parameter of the power battery is analyzed by the cloud server, and accurate battery adjustment information can be obtained, and the power battery is accurately adjusted according to the adjustment information by the BMS. The effective management of the power battery is conducive to improving the efficiency of the use of the power battery.

In order to achieve the above object, a second aspect of the present application provides a method for managing a power battery in an electric vehicle. The electric vehicle is provided with a BMS. The method includes the following steps: the BMS collects the electric vehicle. a state parameter of the middle power battery, and uploading to the cloud server; the cloud server generates adjustment information of the power battery according to the state parameter of the power battery, and sends the adjustment information to the BMS; the BMS is based on The adjustment information sent by the cloud server adjusts the power battery.

According to the management method of the power battery in the electric vehicle according to the embodiment of the present application, the state parameter of the power battery is analyzed by the cloud server, and accurate battery adjustment information can be obtained, and the power battery can be accurately adjusted according to the adjustment information by the BMS. The effective management of the power battery is conducive to improving the efficiency of the use of the power battery.

To achieve the above objective, an embodiment of the third aspect of the present application provides an electric vehicle including: a power battery; a battery management system BMS, wherein the BMS is used to collect state parameters of the power battery and upload the data to a cloud server, so as to The cloud server generates adjustment information of the power battery according to a state parameter of the power battery, and receives the adjustment information sent by the cloud server, and adjusts the power battery according to the adjustment information. .

According to the electric vehicle of the embodiment of the present application, the state parameter of the power battery is collected by the BMS, and the state parameter is sent to the cloud server, so that the state parameter of the power battery is analyzed by the cloud server, and accurate battery adjustment information can be obtained, and then passed. The BMS accurately adjusts the power battery according to the adjustment information, thereby realizing effective management of the power battery, and is beneficial to improving the use efficiency of the power battery.

In order to achieve the above objective, a fourth embodiment of the present application provides a cloud server, including: a first receiving module, configured to receive a state parameter of a power battery in the electric vehicle uploaded by a BMS in the electric vehicle; and a generating module, And a sending module, configured to send the adjustment information to the BMS, so that the BMS pairs the power battery according to the adjustment information. Make adjustments.

According to the cloud server of the embodiment of the present application, the state parameter of the power battery is analyzed by the generating module, and accurate battery adjustment information can be obtained, and the adjustment information is sent to the BMS through the sending module, so that the BMS performs the power battery according to the adjustment information. Accurate adjustment can effectively manage the power battery and help improve the efficiency of the power battery.

DRAWINGS

1 is a block diagram showing the structure of a power battery management system in an electric vehicle according to an embodiment of the present application;

2 is a structural block diagram of a power battery management system in an electric vehicle according to an embodiment of the present application;

3 is a structural block diagram of a power battery management system in an electric vehicle according to another embodiment of the present application;

4 is a flow chart of a method of managing a power battery in an electric vehicle according to an embodiment of the present application;

FIG. 5 is a structural block diagram of an electric vehicle according to an embodiment of the present application; FIG.

6 is a structural block diagram of an electric vehicle according to another embodiment of the present application;

7 is a structural block diagram of a cloud server according to an embodiment of the present application;

FIG. 8 is a structural block diagram of a cloud server according to another embodiment of the present application.

detailed description

The embodiments of the present application are described in detail below, and the examples of the embodiments are illustrated in the drawings, wherein the same or similar reference numerals are used to refer to the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are intended to be illustrative, and are not to be construed as limiting.

A cloud server, an electric vehicle, and a battery management system and method thereof according to embodiments of the present application are described below with reference to the accompanying drawings.

1 is a block diagram showing the structure of a power battery management system in an electric vehicle according to an embodiment of the present application. As shown in FIG. 1, the system 100 includes a cloud server 10 and a BMS 20 disposed above the electric vehicle.

The BMS 20 is configured to collect state parameters of the power battery in the electric vehicle, upload the image to the cloud server 10, and adjust the power battery according to the adjustment information sent by the cloud server 10. The cloud server 10 is configured to generate adjustment information of the power battery according to the state parameter of the power battery, and send the adjustment information to the BMS 20.

In an embodiment of the present application, the cloud server 10 first generates historical data of the power battery according to the state parameter of the power battery, and then generates a plurality of reference curves of the power battery according to the historical data, thereby generating an adjustment of the power battery according to the plurality of reference curves. information.

In an embodiment of the present application, the power battery may include a plurality of single cells, and the state parameter of the power battery is a state parameter of the plurality of single cells, which may include, but is not limited to, a voltage of the single battery, a battery balance, The temperature of the unit cell, the current of the unit cell, the capacity of the unit cell, the SOC of the unit cell, and the like.

The BMS 20 can collect the state parameters of the plurality of single cells in the power battery in real time, and upload the current state parameters to the cloud server 10 every preset time t, and the cloud server 10 stores the state parameters of the received power battery each time. In a database, the state parameters of the power battery accumulated in the database constitute historical data of the power battery.

The cloud server 10 analyzes the correlation between variables in the historical data through machine learning (such as a neural network algorithm), and fits a plurality of reference curves of the power battery, such as between the open circuit voltage and the current, temperature, and capacity of the single battery. The relationship curve, that is, OCV=f(I,T,Q); the relationship between the cell voltage and the current, temperature, and capacity of the single cell, that is, V=f(I, T, Q), the power battery The internal resistance (including the DC internal resistance R0, the electrochemical polarization internal resistance R1, and the concentration polarization internal resistance R2 in the second-order RC equivalent circuit) and the current, temperature, state of charge, and health state of the single cell The relationship curves, that is, R0 = f (I, T, SOC, SOH), R1 = f (I, T, SOC, SOH) and R2 = f (I, T, SOC, SOH).

The cloud server 10 can generate adjustment information of the power battery according to the plurality of reference curves, such as adjusting the charging and discharging power of the power battery, the charging and discharging power of the single battery, and the like, and transmitting the adjustment information to the BMS 20. The BMS 20 can adjust the power battery according to the above adjustment information to make the power battery work in a better state.

In the embodiment of the present application, by collecting and analyzing a large amount of battery data, it can be used to analyze the electricity consumption law of the electric vehicle energy storage system, and it is convenient to design a better peak-cutting valley filling algorithm, thereby maximizing economic efficiency and social efficiency. Chemical. For example, the power generation capacity of a power plant at different times of the day is fixed. If the peak of power consumption is during the daytime and the demand for electricity at night is small, the power generated by the power plant at night can be stored in the energy storage system. And then release it in a concentrated way, which can improve the utilization of power resources.

Therefore, the management system of the power battery in the electric vehicle of the embodiment of the present application can enable the BMS to more accurately adjust the power battery, thereby facilitating the improvement of the use efficiency of the power battery.

A plurality of storage units may be disposed in the cloud server 10 to store historical data of power batteries or different types of batteries of different vehicles. The cloud server 10 may compare the discharge capacities of all the power batteries in different time periods by analyzing statistics, and statistically analyze and obtain daily data. The peak hours of electricity consumption and the amount of electricity used to better guide the peak-filling algorithm of each power battery.

The cloud server 10 also sends a plurality of reference curves to the BMS 20 to update the reference curves pre-stored in the BMS 20.

The pre-stored reference curve may be a curve OCV=f(I,T,Q), V=f(I,T,Q), R=f(I,T, previously stored in the BMS20 when the electric vehicle is shipped from the factory. SOC, SOH), etc. It can be understood that during the operation of the electric vehicle, the BMS 20 can adjust the power battery or control the electric vehicle accordingly through the reference curve.

The BMS 20 can collect the state parameters of the plurality of single cells described above every preset time t, such as collecting the state parameters of the plurality of single cells at time t (first time), and the BMS 20 is the state parameter of the plurality of single cells. (ie, according to state parameters of a plurality of single cells at time t), it is transmitted to the cloud server 10 by wireless communication. It can be understood that when the state parameter is first stored in the history database, the historical data in the history database has only the current state parameter.

The cloud server 10 receives the status parameter, and stores the status parameter in the corresponding history database, and then analyzes the historical data in the historical database to generate a plurality of reference curves, and the cloud server 10 feeds back the plurality of reference curves to the BMS 20. At the same time, the cloud server 10 can also save the reference curve to the corresponding database. The BMS 20 receives the plurality of reference curves fed back by the cloud server 10, and updates the reference curve pre-stored in the BMS 20 according to the reference curve (ie, replaces the pre-stored plurality of reference curve correspondences with the received multiple reference curves) as a battery prediction. Managed reference curve.

The BMS 20 collects the state parameters of the plurality of single cells described above at 2*t, and transmits the state parameters of the plurality of cells to the cloud server 10 by wireless communication.

The cloud server 10 receives the state parameter, and stores the state parameter in a historical database, and then analyzes historical data (including state parameters at time t and time 2*t) in the historical data to generate a plurality of reference curves. The cloud server 10 feeds back the plurality of reference curves to the BMS 20, and the cloud server 10 can also save the reference curve to the corresponding database. The BMS 20 receives a plurality of reference curves fed back by the cloud server 10, and updates the reference curve currently stored in the BMS 20 according to the reference curve as a reference curve for battery prediction management.

Thus, with the deepening of the power battery charging and discharging cycle, the BMS 20 continuously uploads the state parameters of the power battery to the cloud server 10, and the cloud server 10 continuously generates new multiple reference curves based on historical data including all state parameters and returns (feedback) ) to the BMS20, continuous loop iteration, thereby enabling the entire battery system prediction result to be closer to the real state of the power battery, facilitating effective management of the power battery, improving the service life of the power battery, and improving customer satisfaction.

As shown in FIG. 2, the BMS 20 may include a plurality of battery collectors BIC 21 and a battery control unit BCU 22.

Wherein, the plurality of BICs 21 respectively correspond to a plurality of single cells in the power battery, and are used for collecting state parameters of the plurality of single cells. The battery control unit BCU 22 is connected to the plurality of BICs 21 and communicates with the cloud server 10, and the BCU 22 is configured to transmit the status parameters of the power battery to the cloud server 10, and adjust the power battery according to the adjustment information sent by the cloud server 20.

Each BIC21 can send data to the BCU 22 via CAN, in-vehicle network FlexRay or Daisy Chain (daisy chain).

In this embodiment, the BCU 22 and all of the BICs 21 can be assembled with all of the battery cells pack inside the cabin of an electric vehicle.

BIC21 can be used for battery cell voltage sampling and monitoring, battery equalization, battery pack temperature sampling and monitoring. BCU22 can be used for bus current detection, system insulation monitoring, battery system up/down management, battery system thermal management, battery state of charge SOC (State of Charge) estimation, battery health state SOH (State of Health) estimation, battery power state SOP (State of Power) estimation, fault diagnosis, vehicle communication and online program update, data recording.

As shown in FIG. 3, the BCU 22 includes a first controller 22a and a second controller 22b. The first controller 22a is configured to perform vehicle control according to the state parameter of the power battery. The second controller 22b is configured to communicate with the cloud server 10 to transmit the status parameter of the power battery to the cloud server 10, adjust the power battery according to the adjustment information sent by the cloud server 10, and update the BMS 20 according to the plurality of reference curves. Pre-stored reference curve.

It should be noted that, in this embodiment, the BCU 22 has a dual MCU (Micro Control Unit) with powerful data storage space and high-speed data processing speed (ie, the first controller 22a and the second controller 22b). It has offline data processing capability and can perform data interaction with the cloud server 10 by means of wireless communication through a wireless communication module. Further, the cloud server 10 performs cloud computing and big data analysis on the battery state information and the state parameters of the entire life cycle of the power battery, thereby realizing current state management and future state prediction of the power battery.

System 100 also includes a vehicle controller disposed above the electric vehicle.

The vehicle controller is used to obtain operating parameters of the electric vehicle, such as the output power of the electric vehicle, the speed of the electric vehicle, the current location of the vehicle, the surrounding environment information of the vehicle, and the like, and send the operating parameter to the cloud server 10.

After receiving the operating parameters, the cloud server 10 may generate adjustment information of the power battery according to the operating parameter and the plurality of reference curves.

The cloud server 10 can analyze the driving habits of the user according to the operating parameters and the plurality of reference curves, so as to better optimize the vehicle power matching. For example, the driving habit of the user can be analyzed according to the rate of change of the output power P of the electric vehicle and a plurality of reference curves. When the rate of change of P is large, the user prefers to drive intensely. At this time, the corresponding discharge of the power battery can be generated. Power adjustment information to optimize vehicle power matching.

The cloud server 10 can obtain the change trend of the power battery parameters according to the operating parameters and the plurality of reference curves according to different regions, thereby generating corresponding adjustment information, thereby facilitating better adjustment of the battery parameters or the distribution ratio, thereby further Good to improve the energy conversion efficiency of the battery. For example, according to GPS (Global Position System) positioning information (including latitude, longitude, altitude, temperature) sent back by the vehicle controller, the self-discharge amount of the power battery is analyzed according to the latitude and longitude, altitude, temperature, and if the temperature is higher. High, the faster the self-discharge of the power battery, the better the battery characteristics at high temperatures and the self-discharge rate at high temperatures by adjusting the battery ratio.

In summary, according to the management system of the power battery in the electric vehicle according to the embodiment of the present application, the historical data of the power battery is analyzed by the cloud server, and a plurality of reference curves capable of reflecting the true state of the power battery are generated, and according to multiple reference curves or The plurality of reference curves generate corresponding adjustment information with the operating parameters of the electric vehicle, and then adjust the power battery according to the adjustment information by the BMS, thereby enabling effective management of the power battery, facilitating optimization of vehicle power matching, and improving the battery. Energy conversion efficiency, improve economic efficiency and social efficiency.

4 is a flow chart of a method of managing a power battery in an electric vehicle according to an embodiment of the present application.

In an embodiment of the present application, a BMS is disposed above the electric vehicle.

As shown in FIG. 4, the method includes the following steps:

S101, the BMS collects the state parameters of the power battery in the electric vehicle and uploads them to the cloud server.

S102. The cloud server generates adjustment information of the power battery according to the state parameter of the power battery, and sends the adjustment information to the BMS.

The cloud server generates historical data of the power battery according to the state parameter of the power battery, and generates a plurality of reference curves of the power battery according to the historical data, and generates adjustment information of the power battery according to the plurality of reference curves.

S103. The BMS adjusts the power battery according to the adjustment information sent by the cloud server.

Referring to FIG. 2, the BMS includes a plurality of battery collector BICs and a battery control unit BCU.

Wherein, the plurality of BICs respectively correspond to the plurality of single cells in the power battery, and are used for collecting state parameters of the plurality of single cells; the BCU is connected to the plurality of BICs and communicates with the cloud server, and the BCU is used for powering The battery status parameter is uploaded to the cloud server, and the power battery is adjusted according to the adjustment information sent by the cloud server.

Referring to FIG. 3, the BCU includes: a first controller and a second controller.

Wherein, the first controller is configured to perform vehicle control according to the state parameter of the power battery; the second controller is configured to communicate with the cloud server, and collect state parameters of the power battery in the electric vehicle, and upload to the cloud server, and according to the cloud server The transmitted adjustment information adjusts the power battery.

The cloud server sends multiple reference curves to the BMS to update the pre-stored reference curves in the BMS.

Referring to Figure 4, a vehicle controller is also disposed above the electric vehicle.

In this embodiment, the vehicle controller acquires the operating parameters of the electric vehicle, and sends the operating parameters of the electric vehicle to the cloud server; the cloud server generates the adjustment information of the power battery according to the operating parameters of the electric vehicle and the plurality of reference curves, and The adjustment information is sent to the BMS; the BMS adjusts the power battery according to the adjustment information.

It should be noted that, in other specific embodiments of the method for managing the power battery in the electric vehicle according to the embodiment of the present application, reference may be made to the specific embodiment of the battery management system for the electric vehicle according to the above embodiment of the present application.

According to the management method of the power battery in the electric vehicle according to the embodiment of the present application, the historical data of the power battery is analyzed by the cloud server, and a plurality of reference curves capable of reflecting the real state of the power battery are generated, and according to multiple reference curves or multiple references. The curve generates corresponding adjustment information with the operating parameters of the electric vehicle, and then adjusts the power battery according to the adjustment information by the BMS, thereby realizing effective management of the power battery, facilitating optimization of vehicle power matching, and improving energy conversion efficiency of the battery. To improve economic efficiency and social efficiency.

FIG. 5 is a structural block diagram of an electric vehicle according to an embodiment of the present application. As shown in FIG. 5, the electric vehicle 1000 includes a power battery 200 and a BMS 20.

The BMS 20 is configured to collect the state parameter of the power battery 200 and upload it to the cloud server, so that the cloud server generates the adjustment information of the power battery 200 according to the state parameter of the power battery 200, and receives the adjustment information sent by the cloud server, and according to the adjustment information. The power battery 200 is adjusted.

The power battery 200 includes a plurality of single cells.

Referring to FIG. 2, the BMS 20 may include a plurality of battery collectors BIC 21 and a battery control unit BCU 22.

Referring to FIG. 3, the BCU 22 includes a first controller 22a and a second controller 22b. The first controller 22a is configured to perform vehicle control according to the state parameter of the power battery. The second controller 22b is configured to communicate with the cloud server 10 to transmit the status parameter of the power battery to the cloud server 10, adjust the power battery according to the adjustment information sent by the cloud server 10, and update the BMS 20 according to the plurality of reference curves. Pre-stored reference curve.

The cloud server may also send a plurality of reference curves to the BMS 20. When the BMS 20 receives the plurality of reference curves, the BCU also updates the pre-stored or current reference curves in the BMS according to the plurality of reference curves.

As shown in FIG. 6, the electric vehicle 1000 further includes a vehicle controller 30.

The vehicle controller 30 is configured to acquire an operating parameter of the electric vehicle, and send the operating parameter of the electric vehicle to the cloud server, so that the cloud server generates the adjustment information of the power battery according to the operating parameter of the electric vehicle and the plurality of reference curves.

It should be noted that, in other specific embodiments of the electric vehicle according to the embodiment of the present application, reference may be made to the specific implementation manner of the power battery management system in the electric vehicle of the above embodiment of the present application.

The electric vehicle of the embodiment of the present application sends the state parameter of the battery to the cloud server through the BMS, and sends the operating parameter of the electric vehicle to the cloud server through the vehicle controller to analyze the state parameter and the operating parameter of the battery through the cloud server. The processing can not only obtain the adjustment information of the power battery, but also obtain a reference curve close to the real state of the battery, so that the BMS can effectively manage the power battery.

FIG. 7 is a structural block diagram of a cloud server according to an embodiment of the present application. As shown in FIG. 7, the cloud server 10 includes a first receiving module 11, a generating module 12, and a sending module 15.

The first receiving module 11 is configured to receive a state parameter of the power battery in the electric vehicle uploaded by the BMS in the electric vehicle. The generating module 12 is configured to generate adjustment information of the power battery according to the state parameter of the power battery. The transmitting module 15 is configured to send the adjustment information to the BMS, so that the BMS adjusts the power battery according to the adjustment information.

Referring to FIG. 7, the generation module 12 includes a first generation unit 121, a second generation unit 122, and a third generation unit 123. The first generating unit 121 is configured to generate historical data of the power battery according to the state parameter of the power battery, the second generating unit 122 is configured to generate multiple reference curves of the power battery according to the historical data, and the third generating unit 123 is configured to use The reference curves generate adjustment information for the power battery.

Referring to FIG. 8, the transmitting module 15 is further configured to send a plurality of reference curves to the BMS to update the reference curves pre-stored in the BMS.

As shown in FIG. 8, the cloud server 10 further includes a second receiving module 16. The second receiving module 16 is configured to receive an operating parameter of the electric vehicle sent by the vehicle controller in the electric vehicle, wherein the generating module 12 is further configured to generate the adjusting information of the power battery according to the operating parameter of the electric vehicle and the plurality of reference curves. .

It should be noted that, in other specific implementation manners of the cloud server 10 of the embodiment of the present application, reference may be made to the specific implementation manner of the cloud server 10 in the power battery management system 100 of the electric vehicle in the above embodiment of the present application.

According to the cloud server of the embodiment of the present application, by analyzing and processing the state parameter of the battery sent by the BMS and the operating parameter sent by the vehicle controller, not only the adjustment information of the power battery but also the reference curve close to the real state of the battery can be obtained. In order to facilitate the BMS to effectively manage the power battery.

In the description of the present application, it is to be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " Rear, Left, Right, Vertical, Horizontal, Top, Bottom, Inner, Out, Clockwise, Counterclockwise, Axial The orientation or positional relationship of the "radial", "circumferential" and the like is based on the orientation or positional relationship shown in the drawings, and is merely for the convenience of describing the present application and the simplified description, and does not indicate or imply the indicated device or The elements must have a particular orientation, are constructed and operated in a particular orientation, and are therefore not to be construed as limiting.

Moreover, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include one or more of the features either explicitly or implicitly. In the description of the present application, the meaning of "a plurality" is two or more unless specifically and specifically defined otherwise.

In the present application, the terms "installation", "connected", "connected", "fixed" and the like shall be understood broadly, and may be either a fixed connection or a detachable connection, unless otherwise explicitly stated and defined. , or integrated; can be mechanical connection, or can be electrical connection; can be directly connected, or can be indirectly connected through an intermediate medium, can be the internal communication of two elements or the interaction of two elements. For those skilled in the art, the specific meanings of the above terms in the present application can be understood on a case-by-case basis.

In the present application, the first feature "on" or "below" the second feature may be the direct contact of the first and second features, or the first and second features are indirectly through the intermediate medium, unless otherwise explicitly stated and defined. contact. Moreover, the first feature "above", "above" and "above" the second feature may be that the first feature is directly above or above the second feature, or merely that the first feature level is higher than the second feature. The first feature "below", "below" and "below" the second feature may be that the first feature is directly below or obliquely below the second feature, or merely that the first feature level is less than the second feature.

In the description of the present specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" and the like means a specific feature described in connection with the embodiment or example. A structure, material or feature is included in at least one embodiment or example of the application. In the present specification, the schematic representation of the above terms is not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, various embodiments or examples described in the specification, as well as features of various embodiments or examples, may be combined and combined.

While the embodiments of the present application have been shown and described above, it is understood that the above-described embodiments are illustrative and are not to be construed as limiting the scope of the present application. The embodiments are subject to variations, modifications, substitutions and variations.

Claims

A management system for a power battery in an electric vehicle, comprising: a cloud server; and a battery management system BMS disposed on the electric vehicle, wherein

The BMS is configured to collect state parameters of the power battery in the electric vehicle, upload the status parameter to the cloud server, and adjust the power battery according to the adjustment information sent by the cloud server;

The cloud server is configured to generate adjustment information of the power battery according to a state parameter of the power battery, and send the adjustment information to the BMS.
The power battery management system of the electric vehicle according to claim 1, wherein the cloud server generates the adjustment information of the power battery according to the state parameter of the power battery, and is specifically used for:

Generating historical data of the power battery according to the state parameter of the power battery, and generating a plurality of reference curves of the power battery according to the historical data, and generating adjustment information of the power battery according to the plurality of reference curves .
The power battery management system for an electric vehicle according to claim 1 or 2, wherein the BMS comprises:

a plurality of battery collectors BIC, the plurality of BICs respectively corresponding to the plurality of single cells in the power battery, for collecting state parameters of the plurality of single cells;

a battery control unit BCU, wherein the BCU is connected to the plurality of BICs and is in communication with the cloud server, the BCU is configured to upload status parameters of the power battery to the cloud server, and according to the cloud The adjustment information sent by the server adjusts the power battery.
The power battery management system for an electric vehicle according to claim 3, wherein the BCU comprises:

a first controller, configured to perform vehicle control according to a state parameter of the power battery;

And a second controller, configured to communicate with the cloud server, upload a status parameter of the power battery to the cloud server, and adjust the power battery according to the adjustment information sent by the cloud server.
A power battery management system for an electric vehicle according to any one of claims 1 to 4, wherein said cloud server transmits said plurality of reference curves to said BMS to update said pre-stored BMS Reference curve.
The power battery management system for an electric vehicle according to any one of claims 1 to 5, further comprising:

a vehicle controller disposed above the electric vehicle, wherein the vehicle controller is configured to acquire operating parameters of the electric vehicle, wherein

The cloud server generates adjustment information of the power battery according to an operating parameter of the electric vehicle and the plurality of reference curves.
A method for managing a power battery in an electric vehicle, characterized in that a BMS is disposed on the electric vehicle, and the method comprises the following steps:

The BMS collects status parameters of the power battery in the electric vehicle and uploads the status parameters to the cloud server;

The cloud server generates adjustment information of the power battery according to a state parameter of the power battery, and sends the adjustment information to the BMS;

The BMS adjusts the power battery according to the adjustment information.
The method for managing a power battery in an electric vehicle according to claim 7, wherein the generating the adjustment information of the power battery according to the state parameter of the power battery comprises:

Generating historical data of the power battery according to the state parameter of the power battery, and generating a plurality of reference curves of the power battery according to the historical data, and generating adjustment information of the power battery according to the plurality of reference curves .
The method of managing a power battery in an electric vehicle according to claim 7 or 8, wherein the BMS comprises:

a plurality of battery collectors BIC, the plurality of BICs respectively corresponding to the plurality of single cells in the power battery, for collecting state parameters of the plurality of single cells;

a battery control unit BCU, wherein the BCU is connected to the plurality of BICs and is in communication with the cloud server, the BCU is configured to upload status parameters of the power battery to the cloud server, and according to the cloud The adjustment information sent by the server adjusts the power battery.
The method for managing a power battery in an electric vehicle according to claim 9, wherein the BCU comprises:

a first controller, configured to perform vehicle control according to a state parameter of the power battery;

a second controller, configured to communicate with the cloud server, collect state parameters of the power battery in the electric vehicle, upload the status parameters to the cloud server, and perform the power according to the adjustment information sent by the cloud server The battery is adjusted.
The method for managing a power battery in an electric vehicle according to any one of claims 8 to 10, further comprising:

The cloud server sends the plurality of reference curves to the BMS to update a reference curve pre-stored in the BMS.
The method for managing a power battery in an electric vehicle according to any one of claims 7 to 11, wherein the electric vehicle is further provided with a vehicle controller, the method further comprising:

The vehicle controller acquires an operating parameter of the electric vehicle, and sends an operating parameter of the electric vehicle to the cloud server;

The cloud server generates adjustment information of the power battery according to an operating parameter of the electric vehicle and the plurality of reference curves.
An electric vehicle characterized by comprising:

Power Battery;

a battery management system BMS, the BMS is configured to collect state parameters of the power battery, and upload the status parameter to the cloud server, so that the cloud server generates the adjustment information of the power battery according to the state parameter of the power battery, and the receiving station Determining the adjustment information sent by the cloud server, and adjusting the power battery according to the adjustment information.
The electric vehicle according to claim 13, wherein said power battery comprises a plurality of unit batteries, and wherein said BMS comprises:

a plurality of battery collectors BIC, the plurality of BICs respectively corresponding to the plurality of single cells, configured to collect state parameters of the plurality of single cells;

a battery control unit BCU, wherein the BCU is connected to the plurality of BICs and is in communication with the cloud server, the BCU is configured to upload status parameters of the power battery to the cloud server, and according to the cloud The adjustment information sent by the server adjusts the power battery.
The electric vehicle according to claim 14, wherein said BCU comprises:

a first controller, configured to perform vehicle control according to a state parameter of the power battery;

a second controller, configured to communicate with the cloud server, collect state parameters of the power battery in the electric vehicle, upload the status parameters to the cloud server, and perform the power according to the adjustment information sent by the cloud server The battery is adjusted.
The electric vehicle according to any one of claims 13 to 15, wherein the cloud server transmits the plurality of reference curves to the BMS, wherein the BCU is further configured to:

Updating a reference curve pre-stored in the BMS according to the plurality of reference curves.
The electric vehicle according to any one of claims 13-16, further comprising:

a vehicle controller, configured to acquire an operating parameter of the electric vehicle, and send an operating parameter of the electric vehicle to the cloud server, so that the cloud server is configured according to an operating parameter of the electric vehicle The reference curves generate adjustment information for the power battery.