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Torque optimization method for electric vehicles based on data-driven predictive control

An electric vehicle, data-driven technology, applied in electric vehicles, control drive, power management, etc., can solve the problems of complex mechanism model of torque optimization control system, inability to optimize torque distribution design, modeling difficulties, etc., to avoid mechanism modeling , the effect of reducing the amount of calculation and avoiding the problem of model error

Active Publication Date: 2016-06-22
JILIN UNIV
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AI Technical Summary

Problems solved by technology

[0003] 1. Since the research object is a centralized pure electric vehicle, which has only one motor and is driven by the front wheels, there is no distribution optimization problem, and the torque distribution optimization design cannot be carried out like the four-wheel hub motor driven electric vehicle. Consider the generation of driving / braking torque in the vehicle controller
[0004] 2. The mechanism model of electric vehicle torque optimization control system is complex, nonlinear and difficult to model

Method used

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  • Torque optimization method for electric vehicles based on data-driven predictive control
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  • Torque optimization method for electric vehicles based on data-driven predictive control

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Embodiment Construction

[0061] The research method of the present invention is based on data-driven model predictive control, comprising the following steps:

[0062] Firstly, appropriate excitation data is designed for the dynamic characteristics of the system to ensure sufficient excitation of the system; secondly, the input and output data obtained by the excitation are used to construct the predictive output equation of the system; then, the actuators of the motor, battery pack and brake are considered With hard constraints, the model predictive control algorithm is used to construct the cost function of torque optimization control; finally, by solving the optimal problem corresponding to the cost function, the control input is obtained and acts on the system, so as to realize the control of the system.

[0063] In order to solve the problems of the technologies described above, the present invention is achieved by adopting the following technical solutions:

[0064] The electric vehicle torque o...

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Abstract

The invention provides an electric vehicle torque optimization method based on data driven predictive control, belongs to the technical field of electric vehicles, and aims to effectively perform optimized distribution of driving and braking torque of an electric vehicle so as to realize a tracking control method for the longitudinal velocity of the vehicle. The method comprises the steps as follows: firstly, appropriate excitation data are designed according to dynamic characteristics of a system, so that sufficient excitation for the system is guaranteed; secondly, a predictive output equation of the system is constructed by input / output data obtained by excitation; then actuator rigid constraints of a motor, a battery pack and a brake are considered, and a cost function for torque optimization control is constructed with a model predictive control algorithm; finally, an optimization problem corresponding to the cost function is solved to obtain control input which then acts on the system, so that the system is controlled. For the control algorithm, all that is required is off-line simulation experiments when the excitation data are acquired, so that the development cost is lower.

Description

technical field [0001] The invention belongs to the technical field of electric vehicles. Background technique [0002] With the increasing environmental pollution and energy crisis, pure electric vehicles have become a major direction for the development of the automotive industry due to their advantages such as high energy efficiency, low emissions, low noise, and energy recovery. The country has also issued a large number of preferential policies to support enterprise research. Electric vehicles, during the "Tenth Five-Year Plan" period, the National 863 Program "Major Science and Technology Projects for Electric Vehicles" received strong support from the state for two consecutive phases. After the efforts of many companies, colleges and research institutes, my country's research on pure electric vehicles has There have been many technological innovations and breakthroughs in the research and development of core components and the design of vehicle systems. Whether it is a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60L7/00B60L15/20
CPCY02T10/72
Inventor 胡云峰袁磊赵海艳陈虹
Owner JILIN UNIV
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