Energy management method of hydrogen fuel cell hybrid electric vehicle

Abstract

The invention aims to provide an energy management method of a hydrogen fuel cell hybrid electric vehicle. The energy management method comprises the following steps of 1), establishing an energy management system model of the hybrid electric vehicle, 2) collecting data of the hybrid electric vehicle under different working conditions, processing the data by utilizing a nearest neighbor method toobtain a universal demand power transfer probability matrix, and then obtaining an optimal hybrid electric vehicle energy management strategy by taking an energy storage system SOC and a total hydrogen consumption ECMS as learning targets, and 3) based on the hybrid electric vehicle energy management system model established in the step 1), combining the change rate of the required power and the SOC data of the lithium battery and the super capacitor, performing frequency division decoupling through an adaptive fuzzy low-pass filter, and performing energy management on the hydrogen fuel cell hybrid electric vehicle. The continuous space energy management strategy based on deep reinforcement learning has higher universality and real-time performance.

Description

technical field [0001] The invention belongs to the technical field of hybrid electric vehicles, and in particular relates to an energy management method of a composite energy hybrid electric vehicle using a hydrogen fuel cell as a main energy source. Background technique [0002] Hybrid electric vehicle has been a research hotspot at home and abroad in the past ten years. Due to the fact that gasoline-electric hybrid vehicles have not yet got rid of exhaust emissions and the battery life of pure electric vehicles is insufficient, hydrogen fuel cell hybrid vehicles stand out. The energy management research of this kind of new energy hybrid electric vehicle is not yet mature in China, and is still in the exploratory stage, and most of them focus on the energy management system with simple structure, fixed working conditions and simple control. In addition, in order to fundamentally improve the energy efficiency of HEVs, the hybridization degree of the vehicle's power system ...

AI Technical Summary

Problems solved by technology

The energy management research of this kind of new energy hybrid electric vehicles is not yet mature in China, and is still in the exploratory stage, and most of them focus on energy management systems with simple structure, fixed working conditions and simple control.

In addition, in order to fundamentally improve the energy efficiency of HEVs, the degree of hybridization of the vehicle's powertrain should be increased, but this often increases the complexity of HEV energy management

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