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基于Stackelberg博弈的燃料电池混合动力汽车跟车能量管理

付主木 朱龙龙 陶发展 李梦杨

河南科技大学学报(自然科学版)2024,Vol.45Issue(4):1-9,9.
河南科技大学学报(自然科学版)2024,Vol.45Issue(4):1-9,9.DOI:10.15926/j.cnki.issn1672-6871.2024.04.001

基于Stackelberg博弈的燃料电池混合动力汽车跟车能量管理

Car-following Energy Management of Fuel Cell Hybrid Electric Vehicles based on Stackelberg Game

付主木 1朱龙龙 2陶发展 1李梦杨3

作者信息

  • 1. 河南科技大学信息工程学院,河南洛阳 471023||河南科技大学河南省机器人与智能系统重点实验室,河南洛阳 471023
  • 2. 河南科技大学信息工程学院,河南洛阳 471023
  • 3. 洛阳师范学院物理与电子信息学院,河南洛阳 471934
  • 折叠

摘要

Abstract

The collaborative optimization of speed and energy management for fuel cell hybrid electric vehicles(FCHEVs)in car-following scenario is an important and effective means to achieve vehicle energy conservation.In view of the unclear coupling relationship between dual energy source degradation and energy consumption in existing strategies,and the difficulty of considering both global optimization and real-time performance,this paper proposes a Stackelberg game based FCHEV following energy management strategy.Firstly,models for energy consumption and performance degradation of fuel cells/lithium batteries are established and incorporated into a unified dimensional comprehensive vehicle cost function.Secondly,a hierarchical decoupling based energy management strategy for vehicle following is proposed to achieve decoupling control of vehicle following speed and power distribution.Thirdly,considering safety,comfort,fuel economy,and energy durability,a bi-level programming model corresponding to the car-following control layer and energy management layer is established.Based on the Stackelberg game theory,a bi-level differential genetic algorithm is designed to offline optimize the core parameters of the strategy.Finally,simulation and experimental results show that compared to the model predictive control method,this method can reduce average vehicle spacing error by 37.7%,average impact by 2.4%,equivalent hydrogen consumption by 9.3%,and energy degradation cost by 13.9%,achieving a balance between optimized performance and real-time performance.

关键词

燃料电池混合动力汽车/跟车能量管理/双层规划/Stackelberg博弈/双层差分遗传算法

Key words

fuel cell hybrid electric vehicle/car-following energy management/bi-level programming/Stackelberg game/bi-level differential genetic algorithm

分类

信息技术与安全科学

引用本文复制引用

付主木,朱龙龙,陶发展,李梦杨..基于Stackelberg博弈的燃料电池混合动力汽车跟车能量管理[J].河南科技大学学报(自然科学版),2024,45(4):1-9,9.

基金项目

国家自然科学基金项目(62301212,62371182) (62301212,62371182)

河南省高校科技创新人才计划项目(23HASTIT021) (23HASTIT021)

龙门实验室重大科技项目(231100220300) (231100220300)

河南省科技研发计划联合基金项目(222103810036) (222103810036)

河南省重点研发与推广专项科技攻关项目(222102240009) (222102240009)

河南科技大学学报(自然科学版)

OA北大核心CSTPCD

1672-6871

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