Hybrid electric vehicle energy management method based on multi-objective optimization

Abstract

The invention relates to a hybrid electric vehicle energy management method based on multi-objective optimization, and the method comprises the steps: an off-line optimization stage: constructing a multi-objective optimization function, and carrying out the off-line optimization, the multi-objective optimization function considers a power source working state point transfer cost, a power source efficiency cost, an engine start-stop cost, a battery state transfer cost and a gear shifting cost; and in the online real-time control stage, the whole vehicle torque requirement is determined according to the random working condition vehicle speed requirement, the optimized multi-target optimization function is used for torque distribution of all power sources and vehicle gear setting, and vehicle operation is controlled. Compared with the prior art, the method has the advantages that the multi-objective optimization problem of the fuel economy, the engine start-stop frequency and the gear shifting frequency of the automobile is considered, and the requirements of the fuel economy and the smoothness of the automobile are considered.

Description

technical field [0001] The invention relates to the technical field of hybrid electric vehicles, in particular to an energy management method for hybrid electric vehicles based on multi-objective optimization. Background technique [0002] Saving resources and protecting the environment are important themes in today's era, and hybrid electric vehicles have great energy-saving potential. The power source of the hybrid system is composed of an electric motor and an internal combustion engine. When providing power, it can have different energy distribution methods, which provides a certain degree of design freedom. Energy management strategy, as one of the core technologies of hybrid electric vehicle research and development, realizes the energy distribution of vehicles under different driving conditions by coordinating the energy distribution between the engine and motor of hybrid electric vehicles. An energy management strategy with excellent performance is of great signific...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a hybrid electric vehicle energy management method based on multi-objective optimization in order to overcome the above-mentioned defects in the prior art, in order to solve the poor adaptability of the current hybrid electric vehicle regular energy management strategy to random working conditions , Optimized energy management has a large amount of real-time calculations, and at the same time considers avoiding frequent engine start-stops and frequent gear shifts, taking into account the needs of vehicle energy efficiency and ride comfort

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