WO2021098026A1

WO2021098026A1 - Traction battery heat management control system

Info

Publication number: WO2021098026A1
Application number: PCT/CN2019/130853
Authority: WO
Inventors: 王少鹏; 原诚寅; 魏跃远
Original assignee: 北京新能源汽车技术创新中心有限公司
Priority date: 2019-11-19
Filing date: 2019-12-31
Publication date: 2021-05-27
Also published as: CN110962691A

Abstract

Disclosed is a traction battery heat management control system, comprising: a battery management module used for collecting temperature information of a vehicle battery system, sending the temperature information to a vehicle remote communication module, receiving a refrigeration instruction sent by the vehicle remote communication module, and sending the refrigeration instruction to an air conditioner refrigeration control module; a road information acquisition module used for acquiring path planning information and road condition information of a vehicle, and sending the information to the vehicle remote communication module; the vehicle remote communication module used for receiving the temperature information, the path planning information and the road condition information, sending the information to a processing module, receiving a refrigeration instruction sent by the processing module, and sending the refrigeration instruction to the battery management module; the processing module used for receiving the information sent by the vehicle remote communication module, generating the refrigeration instruction on the basis of the information, and sending the refrigeration instruction to the vehicle remote communication module; and the air conditioner refrigeration control module used for controlling a vehicle air conditioner system according to the refrigeration instruction.

Description

Power battery thermal management control system

Technical field

The present invention relates to the technical field of electric vehicles, and more specifically, to a power battery thermal management control system.

Background technique

As the core component of a pure electric vehicle or a hybrid vehicle, the power battery is the only or main source of power for the vehicle, and it plays a decisive role in the working performance of the vehicle. When the vehicle is in different driving conditions such as high speed, low speed, acceleration, deceleration, etc., the battery will be discharged at different rates, and heat will be generated at different heat generation rates, which will cause the battery temperature to rise. The temperature rise in the battery seriously affects the operation, cycle life and charge acceptability of the battery's electrochemical system, battery power and energy, safety and reliability.

The power battery has an optimal operating environment temperature range. In this temperature range, not only the optimal power output of the battery can be ensured, but also the service life of the battery can be prolonged. A main purpose of the battery thermal management strategy is to ensure that the battery runs in this temperature range as much as possible. Within the ambient temperature range. In the actual application process, because it is impossible to know the future working condition information, it is also difficult to give the forecast information of the battery's future temperature. The current thermal management strategy is generally to turn on the heat when it exceeds the optimal operating environment temperature range or is about to exceed it. Management, it is difficult to ensure that the operation is within the optimal ambient temperature range, and secondly, it is easy to cause waste of energy.

Therefore, a power battery thermal management control system is expected to optimize the thermal management strategy of the battery, so that the battery can run in an optimal temperature environment with less energy consumption, extend the service life of the battery, and maximize the performance of the battery.

Summary of the invention

The purpose of the present invention is to propose a thermal management control system for power batteries, which can optimize the thermal management strategy of the battery so as to make the battery run under the optimal temperature environment with less energy consumption, prolong the service life of the battery, and exert the power of the battery. Maximum performance.

In order to achieve the above objective, the present invention proposes a power battery thermal management control system, including: a battery management module for collecting temperature information of the vehicle battery system, and sending the temperature information to the vehicle remote communication module; receiving the The refrigeration command sent by the vehicle remote communication module, and the refrigeration command is sent to the air conditioning refrigeration control module;

A road information acquisition module, configured to acquire path planning information and road condition information of a vehicle, and send the path planning information and the road condition information to the vehicle remote communication module;

The vehicle remote communication module receives the temperature information, the path planning information, and the road condition information, and sends the temperature information, the path planning information, and the road condition information to a processing module, and receives the processing The cooling instruction sent by the module, and sending the cooling instruction to the battery management module;

The processing module receives the temperature information, the path planning information, and the road condition information sent by the vehicle remote communication module, and generates the cooling system based on the temperature information, the path planning information, and the road condition information. Instruction, and send the refrigeration instruction to the vehicle remote communication module;

The air-conditioning refrigeration control module controls the vehicle air-conditioning system according to the refrigeration command.

As an optional solution, the temperature information of the battery system includes one of battery temperature, ambient temperature in the battery box, and battery coolant temperature.

As an optional solution, the processing module is set on a cloud server.

As an optional solution, the road information acquisition module includes a satellite positioning system and an electronic map module. The electronic map module receives user input to generate the path planning information, and is based on the current position determined by the satellite positioning system and the The path planning information determines the road condition information.

As an optional solution, the generating the cooling instruction based on the temperature information, the path planning information, and the road condition information includes:

According to the path planning information and the road condition information, determine the vehicle speed of the vehicle at each time under the corresponding path;

Calculate the battery power at each time based on the vehicle speed at each time;

Calculate the predicted temperature value of the battery at each time according to the battery power at each time and the temperature information of the battery system collected in real time;

For each cooling mode, calculate the energy consumption of the vehicle air-conditioning system based on the predicted temperature value;

The cooling mode corresponding to the lowest energy consumption of the vehicle air conditioning system is determined as the designated cooling mode, and the cooling command is generated, and the cooling command includes the designated cooling mode.

As an optional solution, the cooling mode includes a first cooling mode, a second cooling mode, and a third cooling mode;

According to the first cooling mode, the vehicle air conditioning system is in an on state from time T1 to time T4;

According to the second cooling mode, the vehicle air conditioning system is in an on state from time T2 to time T4;

According to the third cooling mode, the vehicle air conditioning system is in an on state from time T1 to time T3;

Among them, T1<T2<T3<T4.

As an optional solution, the road condition information includes the unobstructed, slow-moving, and congested conditions of the corresponding path. According to the path planning information and the road condition information, determining the speed of the vehicle at each time under the corresponding path includes:

Extract empirical vehicle speed data corresponding to unobstructed, slow-moving, and congested conditions;

According to the path planning information and the road condition information, combined with the empirical vehicle speed data, the vehicle speed of the vehicle at each time under the corresponding path is determined.

As an optional solution, the correlation between the vehicle speed and the battery power stored in advance is extracted, and the battery power at each time is calculated based on the vehicle speed at each time.

As an optional solution, according to the battery power at each time and the temperature information of the battery system, the predicted temperature value of the battery at each time is calculated by the mechanism model method, the finite element analysis method, the equivalent circuit method or the neural network method. ,

As an alternative, the cooling model simulation system is used to calculate the energy consumption of the vehicle air conditioning system based on the predicted temperature value for each cooling mode.

The beneficial effects of the present invention are:

1 According to the driver's planning of the driving path, combined with road condition information, the temperature rise trend of the battery temperature can be predicted, and the energy consumption of different cooling schemes can be simulated and the optimal thermal management scheme can be obtained to make the battery run at the optimal level. Within the temperature range, the service life of the battery is prolonged, while the energy consumption is the least, and the maximum driving range is obtained.

2 The computing power of the vehicle embedded system is limited, and it cannot complete the temperature prediction under battery conditions and the verification of multiple thermal management schemes. However, transplanting these schemes to the cloud server can realize these functions and reduce the vehicle embedded system. Load.

The system of the present invention has other characteristics and advantages. These characteristics and advantages will be apparent from the drawings incorporated herein and the subsequent specific embodiments, or will be in the drawings incorporated herein and the subsequent specific implementations. Detailed statements are made in the manners, and these drawings and specific embodiments are used together to explain the specific principles of the present invention.

Description of the drawings

By describing the exemplary embodiments of the present invention in more detail with reference to the accompanying drawings, the above and other objectives, features, and advantages of the present invention will become more apparent. In the exemplary embodiments of the present invention, the same reference numerals generally represent the same components. .

Fig. 1 shows a schematic structural diagram of a power battery thermal management control system according to an embodiment of the present invention.

Fig. 2 shows the corresponding battery output power at different moments simulated by a vehicle under a planned route according to an embodiment of the present invention.

Fig. 3 shows the change trend of the battery temperature under the control of three cooling modes according to an embodiment of the present invention.

Detailed ways

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings. Although the preferred embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to make the present invention more thorough and complete, and to fully convey the scope of the present invention to those skilled in the art.

Fig. 1 shows a schematic structural diagram of a power battery thermal management control system according to an embodiment of the present invention. Referring to Figure 1, the power battery thermal management control system includes:

The battery management module is used to collect the temperature information of the vehicle battery system and send the temperature information to the vehicle remote communication module; receive the refrigeration command sent by the vehicle remote communication module, and send the refrigeration command to the air conditioning refrigeration control module;

The road information acquisition module is used to acquire the path planning information and road condition information of the vehicle, and send the path planning information and road condition information to the vehicle remote communication module;

The vehicle remote communication module receives temperature information, path planning information and road condition information, and sends temperature information, path planning information and road condition information to the processing module, receives the cooling instructions sent by the processing module, and sends the cooling instructions to the battery management module;

The processing module receives the temperature information, path planning information and road condition information sent by the vehicle remote communication module, generates cooling instructions based on the temperature information, path planning information and road condition information, and sends the cooling instructions to the vehicle remote communication module;

The air-conditioning refrigeration control module controls the vehicle air-conditioning system according to refrigeration instructions.

Specifically, in the prior art, manufacturers will prefabricate battery cooling solutions into the battery thermal management system. The prefabricated refrigeration solutions are based on experience and are not targeted for each battery cooling. In addition, the cooling solutions are based on the battery at the time. Because it is impossible to predict the following working conditions, it is also difficult to predict the temperature change behind the battery, so it is easy for the refrigeration scheme to be mismatched with the actual working conditions, resulting in waste of energy, or The temperature rise caused by insufficient cooling in the early stage exceeds the normal operating temperature range of the battery, which will affect the service life of the battery. The thermal management control system of the power battery of the present invention can predict the heating trend of the battery according to the driver's planning of the driving path and the road condition information through information collection, transmission, simulation and other steps, and aim at the change trend of the battery temperature Simulate the energy consumption of different cooling schemes to obtain the refrigeration scheme with the least energy consumption, which is specific to the cooling of each battery. The following describes the control module of the present invention in detail:

The battery management module has the functions of collecting temperature information, sending and receiving information, and controlling the air conditioning and refrigeration control module. The temperature information collected in this example includes the battery temperature, the ambient temperature in the battery box, and the battery coolant temperature. The object of sending and receiving information is the vehicle remote communication module. The collected temperature information is sent to the vehicle remote communication module, the refrigeration command sent by the vehicle remote communication module is received, and the refrigeration command is sent to the air conditioning refrigeration control module.

The road information acquisition module is used to acquire the path planning information and road condition information of the vehicle, and send the path planning information and road condition information to the vehicle remote communication module; the path planning information is the driving path from the departure place to the destination through the satellite positioning system And the electronic map module to generate path planning information, and determine the road condition information based on the current location and path planning information determined by the satellite positioning system. The path planning information also includes the road conditions of the driving path, such as highways, ordinary roads, rural roads, and highways ahead. Slope, downhill, etc. The road condition information includes: the road ahead is clear, slow, congested, accidents or construction, etc., and the road condition information can also be provided by the car navigation system.

Vehicle remote communication module for receiving and sending information. Receive temperature information sent by the battery management module. When the driver has made route planning information, receive route planning information and road condition information, and send temperature information, route planning information and road condition information to the processing module, and at the same time receive the cooling sent by the processing module Command and send the cooling command to the battery management module.

The processing module is the core module of the system. The processing module stores the empirical data required for calculation and the simulation system. The simulation system contains various heat flow models, battery models, cooling models, etc., through the simulation software first modeling and then Simulation can simulate different working conditions. The simulation system used in this example is the AMESIM system. In one example, the processing module is placed in a cloud server. The processing module receives the temperature information sent by the vehicle remote communication module, such as: battery temperature, ambient temperature in the battery box, battery coolant temperature, path planning information and current road condition information, and combines the above received information with the experience data of the processing module. The data is empirical vehicle speed data corresponding to unobstructed, slow-moving, and congested conditions. It can predict the vehicle speed at different times in the future on the corresponding path. Based on the vehicle speed at each time, calculate the battery power at each time and calculate the battery power at each time The method is: extract the correlation between the vehicle speed and the battery power stored in the processing module in advance, and calculate the battery power at each time based on the vehicle speed at each time. Calculate the predicted temperature value of the battery at each time according to the battery power at each time and the temperature information of the battery system collected in real time. The method of predicting the temperature includes the mechanism model method, finite element analysis method, equivalent circuit method or Neural network method. In this example, the predicted temperature value can be obtained through various battery models in the simulation system AMESIM. For each cooling mode, based on the predicted temperature value, the energy consumption of the vehicle air-conditioning system is calculated through the cooling model in the simulation system AMESIM; the cooling mode corresponding to the lowest energy consumption of the vehicle air-conditioning system is determined as the designated cooling mode, and the cooling command is generated, The cooling command includes a designated cooling mode.

Refer to Figure 2, which is the battery output power at different times simulated by the vehicle under the planned path in an embodiment. The ordinate is the output power of the power battery in kW. A positive value represents the battery discharge output to an external load, and a negative value Represents battery charging and external load feeds back to the battery. The abscissa represents the driving time in seconds. Under this working condition, the processing module in the cloud server can obtain the temperature rise trend of the battery through calculation, and use different cooling commands to simulate the cooling of the battery to obtain the temperature change of the battery.

Referring to Fig. 3, in an example, three cooling commands are preset in the processing module, the ordinate is the temperature of the battery in degrees Celsius, and the abscissa is time in seconds. If we define T1=15°C and T2=25°C, our goal is to control the temperature of the battery between 15°C and 25°C. The current temperature of the battery obtained by the processing module is 10°C, curve 1 is the temperature rise of the battery without cooling measures; curve 2 is the temperature control condition of the cooling command 1, and the open time period is t1～t4, which is required for cooling The energy consumption is P1; the curve 3 is the temperature control situation when the refrigeration instruction 2 is adopted, and the time period for turning on is t2～t4, and the energy consumption required for cooling is P2; the curve 4 is the temperature control situation when the refrigeration instruction 3 is adopted, and the opening time The segment is t1～t3, and the energy consumption required for cooling is P3; it can be seen from the figure that the three cooling commands can control the battery temperature between T1 and T2. At this time, we take the cooling mode corresponding to the minimum required cooling energy P=Min(P1, P2, P3) as the designated cooling mode, and generate the corresponding cooling command and send it to the battery management module.

Because the temperature prediction of the processing module will have certain errors, the driver may also make adjustments to the path planning. The processing module receives the temperature information sent by the thermal management module and the path planning information and road condition information sent by the road information acquisition module in real time. The module re-simulates the temperature rise trend based on the latest information above, and the processing module re-simulates different cooling commands according to the new temperature rise trend, and sends the cooling command with the least energy consumption to the battery management module.

When the vehicle does not follow the route planning information, the battery management module sends a cooling command to the air conditioning refrigeration control module according to its own cooling scheme. In one example, the cooling command is when the battery temperature is higher than the cooling opening threshold, the air conditioning refrigeration control module The vehicle air conditioning system is controlled to start. When the battery temperature is lower than the cooling shutdown threshold, the air conditioning refrigeration control module controls the vehicle air conditioning system to shut down.

The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Without departing from the scope and spirit of the described embodiments, many modifications and changes are obvious to those of ordinary skill in the art.

Claims

A power battery thermal management control system, which is characterized in that it comprises:

The battery management module is used to collect the temperature information of the vehicle battery system and send the temperature information to the vehicle remote communication module; receive the refrigeration command sent by the vehicle remote communication module, and send the refrigeration command to the air conditioning refrigeration control Module

A road information acquisition module, configured to acquire path planning information and road condition information of a vehicle, and send the path planning information and the road condition information to the vehicle remote communication module;

The vehicle remote communication module receives the temperature information, the path planning information, and the road condition information, and sends the temperature information, the path planning information, and the road condition information to a processing module, and receives the processing The cooling instruction sent by the module, and sending the cooling instruction to the battery management module;

The processing module receives the temperature information, the path planning information, and the road condition information sent by the vehicle remote communication module, and generates the cooling system based on the temperature information, the path planning information, and the road condition information. Instruction, and send the refrigeration instruction to the vehicle remote communication module;

The air-conditioning refrigeration control module controls the vehicle air-conditioning system according to the refrigeration command.
The power battery thermal management control system according to claim 1, wherein the temperature information of the battery system includes one of battery temperature, ambient temperature in the battery box, and battery coolant temperature.
The power battery thermal management control system according to claim 1, wherein the processing module is set in a cloud server.
The power battery thermal management control system according to claim 1, wherein the road information acquisition module includes a satellite positioning system and an electronic map module, and the electronic map module receives user input to generate the path planning information, and The road condition information is determined based on the current position determined by the satellite positioning system and the path planning information.
The power battery thermal management control system according to claim 1, wherein said generating said cooling instruction based on said temperature information, said path planning information and said road condition information comprises:

According to the path planning information and the road condition information, determine the vehicle speed of the vehicle at each time under the corresponding path;

Calculate the battery power at each time based on the vehicle speed at each time;

Calculate the predicted temperature value of the battery at each time according to the battery power at each time and the collected temperature information of the battery system;

For each cooling mode, calculate the energy consumption of the vehicle air-conditioning system based on the predicted temperature value;

The cooling mode corresponding to the lowest energy consumption of the vehicle air conditioning system is determined as the designated cooling mode, and the cooling command is generated, and the cooling command includes the designated cooling mode.
The power battery thermal management control system according to claim 5, wherein the cooling mode includes a first cooling mode, a second cooling mode, and a third cooling mode;

According to the first cooling mode, the vehicle air conditioning system is in an on state from time T1 to time T4;

According to the second cooling mode, the vehicle air conditioning system is in an on state from time T2 to time T4;

According to the third cooling mode, the vehicle air conditioning system is in an on state from time T1 to time T3;

Among them, T1<T2<T3<T4.
The power battery thermal management control system according to claim 5, wherein the road condition information includes the unobstructed, slow-moving, and congested conditions of the corresponding path, and according to the path planning information and the road condition information, it is determined that the vehicle is in the corresponding The vehicle speed at each time under the path includes:

Extract empirical vehicle speed data corresponding to unobstructed, slow-moving, and congested conditions;

According to the path planning information and the road condition information, combined with the empirical vehicle speed data, the vehicle speed of the vehicle at each time under the corresponding path is determined.
The power battery thermal management control system according to claim 7, wherein the correlation between the vehicle speed and the battery power stored in advance is extracted, and the battery power at each time is calculated based on the vehicle speed at each time.
The power battery thermal management control system according to claim 5, characterized in that, according to the battery power at each time and the temperature information of the battery system, the mechanism model method, finite element analysis method, equivalent circuit method or neural network Method to calculate the predicted temperature value of the battery at each time.
The power battery thermal management control system according to claim 5, wherein the energy consumption of the vehicle air conditioning system is calculated based on the predicted temperature value for each cooling mode through a cooling model simulation system.