Brake energy feedback optimization control system based on power balance

Abstract

The invention relates to the technical field of regenerative braking energy feedback, in particular to a braking energy feedback optimization control system based on power balance, which comprises a signal data acquisition module, a data analysis module and an adjustment optimization module, the data acquisition module is used for acquiring vehicle driving state data, battery charge state data and motor state data; the data analysis module is used for constructing a power distribution strategy according to the power balance control equation; and the adjusting and optimizing module is used for adjusting the regenerative braking torque in real time.

Description

Technical Field

[0001] The present invention relates to the technical field of regenerative braking energy feedback, and in particular to a braking feedback optimization control system based on power balance. Background Art

[0002] The basic principle of brake energy recovery is to use the kinetic energy of the vehicle to convert it into electrical energy, which is usually achieved by switching the working mode of the motor. When the vehicle decelerates or brakes, the motor operates as a generator to convert the mechanical energy transmitted by the wheels into electrical energy, which can be stored in batteries or supercapacitors for subsequent acceleration or other energy needs of vehicle systems. In traditional vehicle braking systems, kinetic energy is mainly consumed by converting it into heat energy through friction braking. In electric and hybrid vehicles, regenerative braking can recover kinetic energy, thereby improving the energy efficiency of the entire vehicle. Power balancing control technology is the core of the brake energy recovery system, which aims to coordinate the energy distribution between regenerative braking and mechanical braking to achieve maximum energy recovery while ensuring the braking safety of the vehicle. In order to achieve efficient brake energy recovery, the dynamic characteristics of the vehicle, the charge state of the battery, and the braking needs of the driver must be considered. Summary of the invention

[0003] In view of the shortcomings of the prior art, the present invention proposes a braking feedback optimization control system based on power balance. The present invention collects vehicle driving status data, battery charge status data, and motor status data, and constructs a power distribution strategy according to the power balance control equation to adjust the regenerative braking torque in real time. The energy recovery efficiency is improved, and the energy recovery and driving smoothness are guaranteed based on the precise control of real-time data. Through adaptive adjustment, the system's anti-interference ability to external disturbances can be improved, ensuring energy recovery while providing a good driving experience.

[0004] To achieve the above object, the technical solution of the present invention is as follows:

[0005] A braking energy feedback optimization control system based on power balance, the system includes a signal data acquisition module, a data analysis module and an adjustment optimization module; the data acquisition module is used to collect vehicle driving status data, battery charge status data, and motor status data; the data analysis module is used to construct a power distribution strategy according to the power balance control equation; the adjustment optimization module is used to adjust the regenerative braking torque in real time.

[0006] A further improvement of the present invention is that the data acquisition module includes a vehicle driving status data acquisition unit, a battery state of charge data acquisition unit and a motor state data acquisition unit, the vehicle driving status data acquisition unit is used to collect the vehicle speed v, acceleration a, vehicle mass m and wheel radius r during driving; the battery state of charge data acquisition unit is used to collect SOC data; the motor state data acquisition unit is used to collect motor current I, motor angular velocity W, motor calibrated maximum current Imax and motor calibrated maximum angular velocity Wmax.

[0007] A further improvement of the present invention is that the data analysis module includes a braking demand calculation unit, a regenerative power calculation unit, a power balance constraint unit and a power distribution unit; the braking demand calculation unit is used to calculate the braking torque demand; the regenerative power calculation unit is used to calculate the regenerative power according to the motor status data; the power balance constraint unit is used to constrain the regenerative power; the power distribution unit is used to construct a power distribution strategy to distribute the regenerative braking force and the mechanical braking force.

[0008] A further improvement of the present invention is that the braking demand calculation unit is used to calculate the braking torque demand; the specific formula for calculating the braking torque demand is:

[0009] Braking torque requirement Tt = vehicle mass m × acceleration a × wheel radius r.

[0010] A further improvement of the present invention is that the regenerative power calculation unit is used to calculate the regenerative power according to the motor state data; the specific formula for calculating the regenerative power is:

[0011] Regenerative power Pr = k×motor current I×motor angular velocity W.

[0012] A further improvement of the present invention is that the power balance constraint unit is used to constrain the regenerative power, and the specific content of the constraint on the regenerative power is: the regenerative power Pr is not greater than the maximum power allowed for charging of the battery and the regenerative power Pr≤k×the motor's rated maximum current Imax×the motor's rated maximum angular velocity Wmax.

[0013] A further improvement of the present invention is that the power distribution unit is used to construct a power distribution strategy to distribute the regenerative braking force and the mechanical braking force, and the power distribution strategy includes the following specific steps:

[0014] S1. Calculate the regenerative braking torque: regenerative braking torque Tr = q × braking torque demand Tt;

[0015] S2. Calculate the mechanical braking torque: Mechanical braking torque Tm = (1-q) × braking torque demand Tt;

[0016] S3. Calculate the weight factor q, q=max(0,min(1,k1-k2×SOC+k3×v+k4×a)).

[0017] A further improvement of the present invention is that the adjustment and optimization module is used to adjust the regenerative braking torque in real time using an adaptive PID controller.

[0018] The technical effects of the present invention are as follows:

[0019] The present invention collects vehicle driving status data, battery charge status data, and motor status data, constructs a power distribution strategy based on the power balance control equation, and adjusts the regenerative braking torque in real time. It improves the energy recovery efficiency, ensures energy recovery and driving smoothness based on precise control of real-time data, and improves the system's anti-interference ability to external disturbances through adaptive adjustment, ensuring energy recovery while providing a good driving experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] 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:

[0021] Figure 1 It is a structural schematic diagram of the braking energy feedback optimization control system based on power balance of the present invention. DETAILED DESCRIPTION

[0022] Example 1

[0023] This embodiment proposes a braking energy feedback optimization control system based on power balance. The invention collects vehicle driving status data, battery charge status data, and motor status data, builds a power distribution strategy according to the power balance control equation, and adjusts the regenerative braking torque in real time. It improves the energy recovery efficiency, ensures energy recovery and driving smoothness based on precise control of real-time data, and improves the system's anti-interference ability to external disturbances through adaptive adjustment, ensuring energy recovery while providing a good driving experience.

[0024] like Figure 1 As shown, a braking energy feedback optimization control system based on power balance includes a signal data acquisition module, a data analysis module and an adjustment optimization module; the data acquisition module is used to collect vehicle driving status data, battery charge status data, and motor status data; the data analysis module is used to construct a power distribution strategy according to the power balance control equation; the adjustment optimization module is used to adjust the regenerative braking torque in real time.

[0025] In this embodiment, the data acquisition module includes a vehicle driving status data acquisition unit, a battery state of charge data acquisition unit and a motor state data acquisition unit. The vehicle driving status data acquisition unit is used to collect the vehicle's driving speed v, acceleration a, vehicle mass m and wheel radius r; the battery state of charge data acquisition unit is used to collect SOC data; the motor state data acquisition unit is used to collect motor current I, motor angular velocity W, motor calibrated maximum current Imax and motor calibrated maximum angular velocity Wmax.

[0026] In this embodiment, the instantaneous speed v of the vehicle is collected to determine the change in kinetic energy during braking and to calculate the corresponding braking force requirement; the instantaneous acceleration a of the vehicle is collected to calculate the magnitude of the braking force; the total mass m of the vehicle includes passengers and cargo; the radius r of the wheel affects the calculation of the braking torque. SOC data is used to indicate the state of charge (remaining power) of the battery. This data determines whether the amount of regenerative energy feedback reaches the upper limit accepted by the battery to avoid overcharging the battery. The current current value I in the motor reflects the working state of the motor; the current motor speed W is used to calculate the regenerative power; the maximum current value Imax that the motor can withstand limits the upper limit of regenerative energy feedback; the maximum speed Wmax that the motor can withstand further constrains the regeneration capacity of the system.

[0027] In this embodiment, the data analysis module includes a braking demand calculation unit, a regenerative power calculation unit, a power balance constraint unit and a power distribution unit; the braking demand calculation unit is used to calculate the braking torque demand; the regenerative power calculation unit is used to calculate the regenerative power according to the motor state data; the power balance constraint unit is used to constrain the regenerative power; the power distribution unit is used to construct a power distribution strategy to distribute the regenerative braking force and the mechanical braking force. The data analysis module analyzes and calculates the collected data to formulate a corresponding power balance control strategy to achieve the optimal recovery of braking energy.

[0028] In this embodiment, the braking demand calculation unit is used to calculate the braking torque demand; the specific formula for calculating the braking torque demand is:

[0029] Braking torque requirement Tt = vehicle mass m × acceleration a × wheel radius r.

[0030] In this embodiment, the regenerative power calculation unit is used to calculate the regenerative power according to the motor state data; the specific formula for calculating the regenerative power is:

[0031] Regenerative power Pr = k×motor current I×motor angular velocity W.

[0032] In this embodiment, the power balance constraint unit is used to constrain the regenerative power. The specific content of the constraint on the regenerative power is: the regenerative power Pr is not greater than the maximum power allowed for charging of the battery and the regenerative power Pr≤k×the motor's rated maximum current Imax×the motor's rated maximum angular velocity Wmax.

[0033] In this embodiment, the power distribution unit is used to construct a power distribution strategy to distribute the regenerative braking force and the mechanical braking force. The power distribution strategy includes the following specific steps:

[0034] S1. Calculate the regenerative braking torque: regenerative braking torque Tr = q × braking torque demand Tt;

[0035] S2. Calculate the mechanical braking torque: Mechanical braking torque Tm = (1-q) × braking torque demand Tt;

[0036] S3. Calculate the weight factor q, q=max(0,min(1,k1-k2×SOC+k3×v+k4×a)).

[0037] In this embodiment, the adjustment optimization module is used to use an adaptive PID controller to adjust the regenerative braking torque in real time. According to the change of the vehicle's driving state, the adaptive PID controller adjusts the regenerative braking torque Tr in real time to achieve the expected braking force distribution target. The PID controller uses an error feedback mechanism and the synergistic effect of the three parts of proportion, integration and differentiation to make the change of the regenerative braking force smoother, effectively improving the system's response speed and stability to dynamic changes.

[0038] It should be noted here that the braking feedback optimization control system based on power balance realizes the optimization of efficient energy recovery and driving smoothness during vehicle braking through data acquisition of the signal data acquisition module, power calculation and distribution of the data analysis module, and real-time adjustment of the adjustment optimization module. The combination of modular design, adaptive PID control and dynamic power balance strategy enables the system to maintain high energy recovery efficiency and stable braking effect under various working conditions, and has strong practicality and application prospects.

[0039] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0040] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0041] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0042] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0043] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0044] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only one, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0045] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0046] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0047] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0048] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A braking energy feedback optimization control system based on power balance, characterized in that: The system includes a signal data acquisition module, a data analysis module and an adjustment and optimization module; the data acquisition module is used to collect vehicle driving status data, battery charge status data, and motor status data; the data analysis module is used to construct a power allocation strategy according to the power balance control equation; The adjustment and optimization module is used to adjust the regenerative braking torque in real time.

2. The braking energy feedback optimization control system based on power balance according to claim 1 is characterized in that: The data acquisition module includes a vehicle driving state data acquisition unit, a battery state of charge data acquisition unit and a motor state data acquisition unit. The vehicle driving state data acquisition unit is used to collect the speed v, acceleration a, vehicle body mass m and wheel radius r of the vehicle during driving; the battery state of charge data acquisition unit is used to collect SOC data; The motor state data acquisition unit is used to acquire the motor current I, the motor angular velocity W, the motor calibrated maximum current Imax and the motor calibrated maximum angular velocity Wmax.

3. The braking energy feedback optimization control system based on power balance according to claim 2 is characterized in that: The data analysis module includes a braking demand calculation unit, a regenerative power calculation unit, a power balance constraint unit and a power distribution unit; the braking demand calculation unit is used to calculate the braking torque demand; the regenerative power calculation unit is used to calculate the regenerative power according to the motor status data; the power balance constraint unit is used to constrain the regenerative power; the power distribution unit is used to construct a power distribution strategy to distribute the regenerative braking force and the mechanical braking force.

4. The braking energy feedback optimization control system based on power balance according to claim 3 is characterized in that: The braking demand calculation unit is used to calculate the braking torque demand; the specific formula for calculating the braking torque demand is: Braking torque requirement Tt = vehicle mass m × acceleration a × wheel radius r.

5. The braking energy feedback optimization control system based on power balance according to claim 4 is characterized in that: The regenerative power calculation unit is used to calculate the regenerative power according to the motor state data; the specific formula for calculating the regenerative power is: Regenerative power Pr = k×motor current I×motor angular velocity W.

6. The braking energy feedback optimization control system based on power balance according to claim 5 is characterized in that: The power balance constraint unit is used to constrain the regenerative power. The specific content of the constraint on the regenerative power is: the regenerative power Pr is not greater than the maximum power allowed for charging of the battery and the regenerative power Pr≤k×the motor's rated maximum current Imax×the motor's rated maximum angular velocity Wmax.

7. The braking energy feedback optimization control system based on power balance according to claim 6 is characterized in that: The power distribution unit is used to construct a power distribution strategy to distribute the regenerative braking force and the mechanical braking force. The power distribution strategy includes the following specific steps: S1. Calculate the regenerative braking torque: regenerative braking torque Tr = q × braking torque demand Tt; S2. Calculate the mechanical braking torque: Mechanical braking torque Tm = (1-q) × braking torque demand Tt; S3. Calculate the weight factor q, q=max(0,min(1,k1-k2×SOC+k3×v+k4×a)).

8. The braking energy feedback optimization control system based on power balance according to claim 7 is characterized in that: The adjustment and optimization module is used to adjust the regenerative braking torque in real time using an adaptive PID controller.

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