Hybrid electric vehicle energy-saving predictive control method based on vehicle-following model

Abstract

The invention relates to a hybrid electric vehicle energy-saving predictive control method based on a vehicle-following model, in particular to an optical real-time hybrid electric vehicle control method. The method comprises the first step of performing information acquisition, the second step of performing vehicle modeling, the third step of formulating a control strategy, the fourth step of performing on-line optimal control, the fifth step of adjusting weight parameters and the sixth step of judging whether a goal is achieved, wherein with the development of automobile navigation and digital maps, optimization is simultaneously performed on the speed mode of the hybrid electric vehicle and an operating point of a drive device by utilizing traffic conditions of roads. The hybrid electric vehicle energy-saving predictive control method is different form a traditional method that only the operating point of a drive device is optimized, and the traditional control algorithm of a fixed vehicle pitch is still the mainstream under the condition of a vehicle exists in the front. The inventor puts forward the control strategy that the vehicle pitch floats above the minimum value, so that the DOF of the speed change of the vehicle is increased, it is made possible that the fuel economy of the hybrid electric vehicle is improved, and the generalized three-DOF model of the hybrid electric vehicle is put forward. In this way, general methodology guidance is provided for modeling of the hybrid electric vehicle.

Description

technical field [0001] The invention relates to an energy-saving predictive control method for a hybrid electric vehicle based on a car-following model, in particular to a real-time optimal control method for a hybrid electric vehicle. 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 reduct...

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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