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Real-time prediction energy management method and device for CVT parallel hybrid electric vehicle

A hybrid electric vehicle and energy management technology, which is applied to hybrid electric vehicles, motor vehicles, transportation and packaging, etc., can solve the problem of not publicizing the real-time prediction energy management method of CVT parallel hybrid electric vehicles, etc., so as to reduce the computational burden and reduce the The effect of vehicle fuel consumption and cost reduction

Active Publication Date: 2021-11-23
GUANGZHOU INST OF ENERGY CONVERSION - CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In particular, when the energy management strategy based on model predictive control is adopted, the current optimal control quantity can be solved in consideration of future operating conditions, and the fuel consumption of the whole vehicle can be further reduced. Real-time predictive energy management method for hybrid electric vehicles

Method used

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  • Real-time prediction energy management method and device for CVT parallel hybrid electric vehicle
  • Real-time prediction energy management method and device for CVT parallel hybrid electric vehicle
  • Real-time prediction energy management method and device for CVT parallel hybrid electric vehicle

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Experimental program
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Embodiment 1

[0071] figure 1 For the overall implementation steps of the present invention, figure 2 It is a block diagram of predictive energy management control applied to CVT parallel hybrid electric vehicle in the invention, image 3 It is a CVT parallel hybrid electric vehicle applied in the invention.

[0072] The real-time predictive energy management method of a CVT parallel hybrid electric vehicle specifically includes the following steps during implementation:

[0073] S1: Obtain parameters and establish a vehicle longitudinal dynamics model;

[0074] S2: Define the composite power source in the hybrid mode;

[0075] S3: Offline optimization of operating points in hybrid mode and pure electric mode;

[0076] S4: Establish the optimization problem of model predictive control, and use the global optimization algorithm combining the minimization principle and dynamic programming to solve it;

[0077] S5: Build real-time energy management based on model predictive control and a...

Embodiment 2

[0131] refer to Figure 4 As shown, the real-time predictive energy management device for a CVT parallel hybrid vehicle provided in this embodiment includes a processor, a memory, and a computer program stored in the memory and operable on the processor, such as a CVT parallel hybrid Real-time predictive energy management program for automobiles. When the processor executes the computer program, the steps of Embodiment 1 above are realized, for example figure 1 steps shown.

[0132]Exemplarily, the computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the implementation of the computer program in the real-time predictive energy management device of the CVT parallel...

Embodiment 3

[0137] This embodiment provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in Embodiment 1 are implemented.

[0138] The illustrated computer readable medium can be any means that can contain, store, communicate, propagate or transport the program for use by or in connection with an instruction execution system, apparatus or device. More specific examples (non-exhaustive list) of computer-readable media include the following: electrical connection with one or more wires (electronic device), portable computer disk case (magnetic device), random access memory (RAM), Read Only Memory (ROM), Erasable and Editable Read Only Memory (EPROM or Flash Memory), Fiber Optic Devices, and Portable Compact Disc Read Only Memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the progra...

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PUM

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Abstract

The invention discloses a real-time prediction energy management method for a CVT parallel hybrid electric vehicle. The real-time prediction energy management method comprises the following steps that S1, establishing a whole vehicle longitudinal dynamic model; S2, defining a composite power source in a hybrid power mode; S3, optimizing working points in the hybrid power mode and the pure electric mode offline; S4, establishing an optimization problem of model prediction control, and solving the optimization problem by adopting a global optimization algorithm combining a minimization principle and dynamic programming; and S5, constructing real-time energy management based on model predictive control. According to the method, the composite power source definition of the CVT hybrid power transmission system is provided, a control model of the CVT parallel type hybrid electric vehicle is simplified, the current optimal control quantity can be solved by integrating future working conditions, the fuel consumption of the whole vehicle is further reduced, meanwhile, the overall optimization algorithm combining the minimization principle and dynamic programming is adopted. The calculation amount of model prediction control is reduced, the calculation burden of a whole vehicle controller is relieved, so that the cost of the controller is reduced.

Description

technical field [0001] The invention relates to the technical field related to new energy vehicles, in particular to a real-time predictive energy management method for a CVT parallel hybrid vehicle. Background technique [0002] For parallel hybrid electric vehicles using mechanical continuously variable transmission (Continuous variable transmission, CVT), the engine speed and torque can be completely decoupled from the wheels, so as to realize the efficient operation of the whole vehicle. In particular, when the energy management strategy based on model predictive control is adopted, the current optimal control quantity can be solved in consideration of future operating conditions, and the fuel consumption of the whole vehicle can be further reduced. A real-time predictive energy management approach for hybrid electric vehicles. Contents of the invention [0003] The purpose of the present invention is to overcome the above-mentioned deficiencies in the prior art, and ...

Claims

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Application Information

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IPC IPC(8): B60W20/11B60W50/00
CPCB60W20/11B60W50/00B60W2050/0034
Inventor 马泽涛舒杰崔琼刘梦华黄磊王浩吴昌宏
Owner GUANGZHOU INST OF ENERGY CONVERSION - CHINESE ACAD OF SCI