机车氢燃料电池混合动力系统的多目标参数配置优化

IF 2.6 3区 工程技术 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Electronics Pub Date : 2024-09-10 DOI:10.3390/electronics13183599
Suyao Liu, Chunmei Xu, Yifei Zhang, Haoying Pei, Kan Dong, Ning Yang, Yingtao Ma
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引用次数: 0

摘要

对燃料电池混合动力系统(FCHPS)进行参数化的传统方法通常依赖于工程经验,这会导致经济成本增加和系统重量过重等问题。这些缺点限制了 FCHPS 在实际应用中的性能。为解决这些问题,本文提出了一种优化 FCHPS 参数配置的新方法。首先,通过牵引力计算确定车辆的功率和能量需求,并采用实时能量管理策略确保高效的功率分配。在此基础上,建立多目标参数配置优化模型,综合考虑经济成本和系统权重,采用粒子群优化(PSO)算法确定各电源的最优配置。优化结果表明,与初始配置相比,系统经济成本分别降低了 8.76% 和 18.05%,重量分别降低了 11.47% 和 9.13%。这些结果验证了所提出的优化策略的有效性,并证明了其改善 FCHPS 整体性能的潜力。
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Multi-Objective Parameter Configuration Optimization of Hydrogen Fuel Cell Hybrid Power System for Locomotives
Conventional methods of parameterizing fuel cell hybrid power systems (FCHPS) often rely on engineering experience, which leads to problems such as increased economic costs and excessive weight of the system. These shortcomings limit the performance of FCHPS in real-world applications. To address these issues, this paper proposes a novel method for optimizing the parameter configuration of FCHPS. First, the power and energy requirements of the vehicle are determined through traction calculations, and a real-time energy management strategy is used to ensure efficient power distribution. On this basis, a multi-objective parameter configuration optimization model is developed, which comprehensively considers economic cost and system weight, and uses a particle swarm optimization (PSO) algorithm to determine the optimal configuration of each power source. The optimization results show that the system economic cost is reduced by 8.76% and 18.05% and the weight is reduced by 11.47% and 9.13%, respectively, compared with the initial configuration. These results verify the effectiveness of the proposed optimization strategy and demonstrate its potential to improve the overall performance of the FCHPS.
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来源期刊
Electronics
Electronics Computer Science-Computer Networks and Communications
CiteScore
1.10
自引率
10.30%
发文量
3515
审稿时长
16.71 days
期刊介绍: Electronics (ISSN 2079-9292; CODEN: ELECGJ) is an international, open access journal on the science of electronics and its applications published quarterly online by MDPI.
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