Hybrid electric vehicle energy conservation predictive control method based on traffic signal lamp information

Abstract

The invention discloses a hybrid electric vehicle energy conservation predictive control method based on traffic signal lamp information. Real-time road grades and the traffic signal lamp information are acquired from the global positioning system and an intelligent transportation system to serve as system input, and a hybrid electric vehicle mathematic model is established to serve as a reference for predicting further vehicle states; a hybrid electric vehicle energy management optimal control problem is defined, and a functional equation for solving the optimum control quantity is provided; optimum control is fed back in real time to solve the optimum control quantity; under the condition of meeting hybrid electric vehicle storage battery electric quantity balance and rotation speed and torque physical limit restraints, energy flow of a hybrid electric vehicle is adjusted and optimized on line according to practical vehicle driving working conditions, the system optimal performance of the hybrid electric vehicle is obtained, a planetary gear mechanism is used to serve as an electric infinitely variable transmission, an engine is made to constantly work at the best operating point, road traffic information is used for predicting the charge state of a target storage battery, the energy flow of the hybrid electric vehicle is adjusted on line, and therefore the purposes of energy conservation and emission reduction are achieved.

Description

technical field [0001] The invention relates to a real-time optimal hybrid electric vehicle control method, in particular to a hybrid electric vehicle energy-saving predictive control method based on traffic signal light information. Background technique [0002] The increasingly severe global energy and environmental situation, especially the huge impact of the international financial crisis on the automobile industry, has pushed countries around the world to accelerate the strategic transformation of the automobile industry. In order to develop more energy-saving and environment-friendly automobiles and solve the above two problems, hybrid electric vehicles have been industrialized at present. Compared with traditional vehicles, hybrid vehicles have the redundancy of battery and fuel dual system drive. Using this redundancy, the operating point of the driving device can be adjusted to the optimal position, so as to achieve the goal of energy saving and emission reduction. ...

AI Technical Summary

Problems solved by technology

The traditional global optimal control algorithm dynamic programming and Pontryagin minimum principle control methods cannot achieve real-time optimal control because they need to know all future working conditions in advance.

Traditional rule-based control strategies fail to maximize efficiency

General feed-forward control (assuming a constant vehicle speed pattern) cannot achieve real-time optimal

The traditional instantaneous optimal control parameters are too affected by changes in future vehicle operating conditions and cannot meet the control performance

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