Real-time monitoring and adjusting method for energy feedback in regenerative braking system

Abstract

The invention relates to the technical field of braking energy feedback, in particular to a real-time monitoring and adjusting method for energy feedback in a regenerative braking system, and the method comprises the steps: obtaining the real-time speed v of a vehicle through a vehicle speed sensor, obtaining the real-time mass m through a load sensor, substituting the real-time speed v and the real-time mass m into a kinetic energy formula, and calculating the current kinetic energy Ekin of the vehicle; real-time current I (ti) and real-time voltage V (ti) of the vehicle are obtained, recycled real-time electric energy Eelec is obtained through a trapezoidal numerical integration method, and energy feedback efficiency is obtained according to current kinetic energy Ekin of the vehicle and the recycled real-time electric energy Eelec; constructing a regenerative braking force control target formula, and establishing a multi-target optimization function; and constructing an energy feedback adjustment strategy, and performing battery overcharge protection and cooling control on the vehicle.

Description

Background Art

[0002] Regenerative braking system is a key energy recovery technology in electric and hybrid vehicles. Its purpose is to convert the vehicle's kinetic energy into electrical energy and store it in the battery when the vehicle decelerates or brakes, so as to improve energy utilization efficiency, extend driving range, and reduce brake wear.

[0003] Although regenerative braking systems have made significant progress, there are still some technical challenges to overcome. Traditional control methods may not be able to adapt to complex driving and environmental conditions in real time. Measurement errors can lead to inaccurate energy calculations, affecting control decisions and resulting in low energy recovery efficiency. At the same time, frequent high-power charging may cause battery overcharging and temperature increase, affecting battery life and safety.

[0004] Therefore, it is necessary to propose a real-time monitoring and adjustment method for energy feedback in a regenerative braking system to overcome the above technical problems. Summary of the invention

[0005] The main purpose of the present invention is to provide a real-time monitoring and adjustment method for energy feedback in a regenerative braking system, which effectively solves the above-mentioned problems mentioned in the background technology.

[0006] The technical solution of the present invention is as follows:

[0007] A real-time monitoring and adjustment method for energy feedback in a regenerative braking system is proposed, and the method comprises the following steps:

[0008] S1. Use the vehicle speed sensor to obtain the vehicle's real-time speed v, and the load sensor to obtain the real-time mass m. Substitute the real-time speed v and real-time mass m into the kinetic energy formula to calculate the vehicle's current kinetic energy E. kin ;

[0009] S2. Obtain the real-time current I(t i )、real-time voltage V(t i ), the real-time electric energy E recovered is obtained by using the trapezoidal numerical integration method elec , according to the vehicle's current kinetic energy E kin , real-time electric energy E recovered elec , and obtain the energy feedback efficiency;

[0010] S3, constructing a regenerative braking force control target formula and establishing a multi-objective optimization function;

[0011] S4. Construct an energy feedback regulation strategy to provide battery overcharge protection and cooling control for the vehicle.

[0012] A further improvement of the present invention is that the real-time electric energy E recovered is obtained by using a trapezoidal numerical integration method in S2. elec The specific formula is: Among them, E elec is the real-time electric energy, V(t i ) is the real-time voltage of the ith time node, I(t i ) is the real-time current at the i-th time node, V(t i-1 ) is the real-time voltage of the i-1th time node, I(t i-1 ) is the real-time current at the i-1th time node.

[0013] A further improvement of the present invention is that the calculation formula of the energy feedback efficiency in S2 is: in, For energy feedback efficiency.

[0014] A further improvement of the present invention is that S3 comprises the following specific steps:

[0015] S31, constructing a regenerative braking force control target formula, wherein the regenerative braking force control target formula is:

[0016]

[0017] Among them, F brake (t i ) is the regenerative braking force at the i-th time node, e(t i ) is the efficiency error, and is the efficiency setting value, is the actual value of efficiency, K1 is the proportional coefficient, K2 is the integral coefficient, and K3 is the differential coefficient;

[0018] S32, establish a multi-objective optimization function, the specific formula of the multi-objective optimization function is:

[0019]

[0020] Among them, J represents the value of the multi-objective optimization function, d set represents the target braking distance, d(t i ) is the actual braking distance, a1 and a2 are weight coefficients.

[0021] A further improvement of the present invention is that the energy feedback regulation strategy in S4 includes a battery overcharge protection sub-strategy, and the specific formula of the battery overcharge protection sub-strategy is:

[0022]

[0023] Among them, F max is the maximum regenerative braking force, SOC(t i ) is the current state of charge, SOC minThe minimum state of charge, SOC max is the maximum state of charge.

[0024] A further improvement of the present invention is that the energy feedback regulation strategy in S4 also includes a cooling control sub-strategy, and the specific formula of the cooling control sub-strategy is:

[0025] Q cool =K cool ×(T bat -T ambient );

[0026] Among them, Q cool is the cooling power, K cool is the cooling coefficient, T bat is the battery temperature, T ambient is the ambient temperature.

[0027] The technical effects of the present invention are as follows:

[0028] A real-time monitoring and adjustment method for energy feedback in a regenerative braking system is constructed. The present invention obtains the real-time speed v of the vehicle by using a vehicle speed sensor, obtains the real-time mass m by using a load sensor, substitutes the real-time speed v and real-time mass m into the kinetic energy formula, and calculates the current kinetic energy E of the vehicle. kin ; Get the vehicle real-time current I(t i )、real-time voltage V(t i ), the real-time electric energy E recovered is obtained by using the trapezoidal numerical integration method elec , according to the vehicle's current kinetic energy E kin , real-time electric energy E recovered elec , get the energy feedback efficiency; construct the regenerative braking force control target formula and establish a multi-objective optimization function; construct the energy feedback adjustment strategy to protect the vehicle from battery overcharge and control cooling. Energy recovery is more efficient, comprehensively considering energy recovery efficiency and braking performance, balancing energy recovery and driving safety, and ensuring that the vehicle can achieve optimal performance under various working conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0030] Figure 1 It is a flow chart of the real-time monitoring and regulating method of energy feedback in the regenerative braking system of the present invention. DETAILED DESCRIPTION

[0031] The present invention aims to propose a real-time monitoring and adjustment method for energy feedback in a regenerative braking system. The real-time speed v of the vehicle is obtained by using a vehicle speed sensor, and the real-time mass m is obtained by using a load sensor. The real-time speed v and the real-time mass m are substituted into the kinetic energy formula to calculate the current kinetic energy E of the vehicle. kin ; Get the vehicle real-time current I(t i )、real-time voltage V(t i ), the real-time electric energy E recovered is obtained by using the trapezoidal numerical integration method elec , according to the vehicle's current kinetic energy E kin , real-time electric energy E recovered elec , get the energy feedback efficiency; construct the regenerative braking force control target formula and establish a multi-objective optimization function; construct the energy feedback adjustment strategy to protect the vehicle from battery overcharge and control cooling. Energy recovery is more efficient, comprehensively considering energy recovery efficiency and braking performance, balancing energy recovery and driving safety, and ensuring that the vehicle can achieve optimal performance under various working conditions.

[0032] Embodiment 1:

[0033] This embodiment proposes a real-time monitoring and adjustment method for energy feedback in a regenerative braking system, such as Figure 1 The following specific steps are shown:

[0034] S1. Use the vehicle speed sensor to obtain the vehicle's real-time speed v, and the load sensor to obtain the real-time mass m. Substitute the real-time speed v and real-time mass m into the kinetic energy formula to calculate the vehicle's current kinetic energy E. kin ;

[0035] S2. Obtain the real-time current I(t i )、real-time voltage V(t i ), the real-time electric energy E recovered is obtained by using the trapezoidal numerical integration method elec , according to the vehicle's current kinetic energy E kin , real-time electric energy E recovered elec , and obtain the energy feedback efficiency;

[0036] S3, constructing a regenerative braking force control target formula and establishing a multi-objective optimization function;

[0037] S4. Construct an energy feedback regulation strategy to provide battery overcharge protection and cooling control for the vehicle.

[0038] In this embodiment, the trapezoidal numerical integration method is used in S2 to obtain the real-time electric energy E recovered. elec The specific formula is: Among them, E elec is the real-time electric energy, V(t i ) is the real-time voltage of the ith time node, I(t i) is the real-time current at the i-th time node, V(t i-1 ) is the real-time voltage of the i-1th time node, I(t i-1 ) is the real-time current at the i-1th time node.

[0039] In this embodiment, the calculation formula of the energy feedback efficiency in S2 is: in, For energy feedback efficiency.

[0040] In this embodiment, S3 includes the following specific steps:

[0041] S31, constructing a regenerative braking force control target formula, wherein the regenerative braking force control target formula is:

[0042]

[0043] Among them, F brake (t i ) is the regenerative braking force at the i-th time node, e(t i ) is the efficiency error, and is the efficiency setting value, is the actual value of efficiency, K1 is the proportional coefficient, K2 is the integral coefficient, and K3 is the differential coefficient;

[0044] S32, establish a multi-objective optimization function, the specific formula of the multi-objective optimization function is:

[0045]

[0046] Among them, J represents the value of the multi-objective optimization function, d set represents the target braking distance, d(t i ) is the actual braking distance, a1 and a2 are weight coefficients.

[0047] In this embodiment, the energy feedback regulation strategy in S4 includes a battery overcharge protection sub-strategy, and the specific formula of the battery overcharge protection sub-strategy is:

[0048]

[0049] Among them, F max is the maximum regenerative braking force, SOC(t i ) is the current state of charge, SOC min The minimum state of charge, SOC max is the maximum state of charge.

[0050] In this embodiment, the energy feedback regulation strategy in S4 also includes a cooling control sub-strategy, and the specific formula of the cooling control sub-strategy is:

[0051] Q cool =K cool ×(T bat -T ambient );

[0052] Among them, Q cool is the cooling power, K cool is the cooling coefficient, T bat is the battery temperature, T ambient is the ambient temperature.

[0053] Embodiment 2:

[0054] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the above-mentioned real-time monitoring and adjustment method of energy feedback in the regenerative braking system by calling the computer program stored in the memory.

[0055] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the real-time monitoring and adjustment method for energy feedback in the regenerative braking system provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface for data input and output. This embodiment will not be described in detail here.

[0056] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), and it can also be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0057] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0058] The present invention is described with reference to flowcharts and block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process or block in the flowchart and block diagram, as well as the combination of processes and blocks in the flowchart or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts. Figure 1 Process or multiple processes and boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0059] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 Process or multiple processes and boxes Figure 1 A step that specifies a function in one or more boxes.

[0060] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A real-time monitoring and adjustment method for energy feedback in a regenerative braking system, characterized in that: The specific steps include: S1. Use the vehicle speed sensor to obtain the vehicle's real-time speed v, and the load sensor to obtain the real-time mass m. Substitute the real-time speed v and real-time mass m into the kinetic energy formula to calculate the vehicle's current kinetic energy E. kin ; S2. Obtain the real-time current I(t i )、real-time voltage V(t i ), the real-time electric energy E recovered is obtained by using the trapezoidal numerical integration method elec , according to the vehicle's current kinetic energy E kin , real-time electric energy E recovered elec , and obtain the energy feedback efficiency; S3, constructing a regenerative braking force control target formula and establishing a multi-objective optimization function; S4. Construct an energy feedback regulation strategy to provide battery overcharge protection and cooling control for the vehicle.

2. The real-time monitoring and adjustment method of energy feedback in a regenerative braking system according to claim 1, characterized in that: The trapezoidal numerical integration method is used in S2 to obtain the real-time electric energy E recovered. elec The specific formula is: Among them, E elec is the real-time electric energy, V(t i ) is the real-time voltage of the ith time node, I(t i ) is the real-time current at the i-th time node, V(t i-1 ) is the real-time voltage of the i-1th time node, I(t i-1 ) is the real-time current at the i-1th time node.

3. The real-time monitoring and adjustment method of energy feedback in a regenerative braking system according to claim 2, characterized in that: The calculation formula of the energy feedback efficiency in S2 is: in, For energy feedback efficiency.

4. The real-time monitoring and adjustment method of energy feedback in a regenerative braking system according to claim 3 is characterized in that: The S3 includes the following specific steps: S31, constructing a regenerative braking force control target formula, wherein the regenerative braking force control target formula is: Among them, F brake (t i ) is the regenerative braking force at the i-th time node, e(t i ) is the efficiency error, and is the efficiency setting value, is the actual value of efficiency, K1 is the proportional coefficient, K2 is the integral coefficient, and K3 is the differential coefficient; S32, establish a multi-objective optimization function, the specific formula of the multi-objective optimization function is: Among them, J represents the value of the multi-objective optimization function, d set represents the target braking distance, d(t i ) is the actual braking distance, a1 and a2 are weight coefficients.

5. The real-time monitoring and adjustment method of energy feedback in a regenerative braking system according to claim 4, characterized in that: The energy feedback regulation strategy in S4 includes a battery overcharge protection sub-strategy, and the specific formula of the battery overcharge protection sub-strategy is: Among them, F max is the maximum regenerative braking force, SOC(t i ) is the current state of charge, SOC min The minimum state of charge, SOC max is the maximum state of charge.

6. The real-time monitoring and adjustment method of energy feedback in a regenerative braking system according to claim 5, characterized in that: The energy feedback regulation strategy in S4 also includes a cooling control sub-strategy, and the specific formula of the cooling control sub-strategy is: Q cool =K cool ×(T bat -T ambient ); Among them, Q cool is the cooling power, K cool is the cooling coefficient, T bat is the battery temperature, T ambient is the ambient temperature.

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