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考虑空调系统的燃料电池汽车能量管理策略

赵又群 徐周 虞志浩 林棻 何鲲鹏 尤庆伸

华南理工大学学报(自然科学版)2025,Vol.53Issue(6):56-65,10.
华南理工大学学报(自然科学版)2025,Vol.53Issue(6):56-65,10.DOI:10.12141/j.issn.1000-565X.240396

考虑空调系统的燃料电池汽车能量管理策略

Energy Management Strategies for Fuel Cell Vehicle Considering Air Conditioning Systems

赵又群 1徐周 1虞志浩 1林棻 1何鲲鹏 2尤庆伸3

作者信息

  • 1. 南京航空航天大学 能源与动力学院,江苏 南京 210016
  • 2. 南京航空航天大学 能源与动力学院,江苏 南京 210016||奇瑞新能源汽车股份有限公司,安徽 芜湖 241002
  • 3. 奇瑞新能源汽车股份有限公司,安徽 芜湖 241002
  • 折叠

摘要

Abstract

In the actual operation of fuel cell hybrid electric vehicles,the air conditioning system provides a comfortable environment for drivers and passengers.However,the performance of the air conditioning system interacts with the vehicle's energy distribution during operation.Therefore,it is necessary to integrate the air conditioning system into the energy management strategy,and design an energy management strategy that ensures the cabin temperature comfort requirements while also considering the overall hydrogen consumption efficiency of the vehicle.Firstly,based on the vehicle dynamics model,the heat balance equation was used to establish the heat pump air-conditioning system model and heat load model.Then,the dual delay depth deterministic strategy gradient(TD3-PER)algorithm combining the double Q network and the depth deterministic strategy gradient was used to establish the energy management strategy considering the energy consumption of the air conditioning system and the vehicle operation demand.Simulation under the typical NEDC driving cycle shows that with the TD3-PER energy management strategy,the air conditioning system can rapidly bring the cabin temperature to and maintain it within the comfortable range of 22℃to 26℃in 100 seconds,ensuring cooling/heating performance to maintain cabin comfort.This validates the feasibility of the TD3-PER energy management strategy when considering the air conditioning system.During cooling/heating operation,compared to the traditional Deep Deterministic Policy Gradient(DDPG)algorithm,the power distribution strategy based on the TD3-PER algorithm can extend the lifespan of both the fuel cell and the battery.Additionally,in terms of hydrogen consumption,the TD3-PER-based strategy can improve fuel economy by 2.59 percentage points during cooling and 3.58 percentage points during heating.This demonstrates that the TD3-PER algorithm-based energy management strategy offers significant advantages over traditional algorithms in terms of reducing hydrogen consumption and improving overall vehicle efficiency.

关键词

双能源燃料电池汽车/空调系统/能量管理策略/TD3-PER/DDPG

Key words

dual-energy fuel cell vehicle/air conditioning system/energy management strategy/TD3-PER/DDPG

分类

交通工程

引用本文复制引用

赵又群,徐周,虞志浩,林棻,何鲲鹏,尤庆伸..考虑空调系统的燃料电池汽车能量管理策略[J].华南理工大学学报(自然科学版),2025,53(6):56-65,10.

基金项目

国家自然科学基金项目(52472411,52272397) (52472411,52272397)

芜湖市重点研发与成果转化项目(2023yf010) (2023yf010)

南京航空航天大学中央高校基本科研业务费专项资金资助项目(NP2022408) (NP2022408)

南京航空航天大学研究生科研与实践创新计划项目(xcxjh20240204)Supported by the National Natural Science Foundation of China(52472411,52272397) (xcxjh20240204)

华南理工大学学报(自然科学版)

OA北大核心

1000-565X

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