Energy-saving control method for plug-in hybrid electric vehicles

Abstract

The invention discloses an energy-saving control method for plug-in hybrid electric vehicles based on road traffic information. The energy-saving control method comprises the following steps: obtaining the real-time road grade, the traffic information of front vehicles, and the information of a next charging station from a global positioning system and an intelligent traffic system; establishing a three-dimensional mathematical model of a plug-in hybrid electric vehicle for predicting the vehicle state in the future; defining the power consumption of the vehicle and the optimum control problem of energy management at the power sustaining stage, and providing a functional equation for solving optimum control amount; performing real-time feedback optimum control, solving the optimum control amount so as to realize the optimum allocation for charging and discharging of a storage battery, adjusting and optimizing the energy flow of the plug-in hybrid electric vehicle on line according to the traveling conditions of the vehicle, obtaining the optimum performance of the system of the plug-in hybrid electric vehicle, and using a planetary gear mechanism as an continuously-variable electronic transmission, so that an engine works at an efficient region; predicting the charging state of the target storage battery according to the road traffic information, and adjusting the energy flow of the plug-in hybrid electric vehicle on line so as to achieve the purposes of saving energy and reducing exhaust.

Description

technical field [0001] The invention relates to a real-time optimal energy-saving control method of a plug-in hybrid electric vehicle based on road traffic 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-mentioned two major problems, plug-in hybrid electric vehicles have been industrialized at present. Compared with traditional vehicles, plug-in 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. It is expected that the mainstre...

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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