Long-term assessment of economic plug-in hybrid electric vehicle battery lifetime degradation management through near optimal fuel cell load sharing

Long-term assessment of economic plug-in hybrid electric vehicle battery lifetime degradation management through near optimal fuel cell load sharing
复制标题

DOI:
10.1016/j.jpowsour.2016.04.029
复制
发表时间:
2016-06
影响因子:
9.2
通讯作者:
F. Martel;Y. Dubé;S. Kelouwani;J. Jaguemont;K. Agbossou
F. Martel;Y. Dubé;S. Kelouwani;J. Jaguemont;K. Agbossou
中科院分区:
工程技术2区
文献类型:
--
作者:
F. Martel;Y. Dubé;S. Kelouwani;J. Jaguemont;K. Agbossou

文献摘要

被引文献

相似文献

这项工作评估了插电式混合动力汽车(PHEV)能量管理过程的性能,该过程依赖于对其能量载体(在这种情况下,锂离子电池组和聚合物电解质膜燃料电池(PEMFC))的退化进行主动管理,以在其整个使用寿命内产生接近经济最佳的车辆运行概况。该解决方案是通过实验支持的PHEV模型得到的,该模型采用了最优离散动态规划(DDP)算法,该算法旨在有效地处理延长时间尺度上的车辆使用周期。我们的结果表明,与其他基于规则的插电式混合动力能源管理基准相比,我们的策略提供了经济和组件寿命收益。
This work evaluates the performance of a plug-in hybrid electric vehicle (PHEV) energy management process that relies on the active management of the degradation of its energy carriers – in this scenario, a lithium-ion battery pack and a polymer electrolyte membrane fuel cell (PEMFC) – to produce a near economically-optimal vehicle operating profile over its entire useful lifetime. This solution is obtained through experimentally-supported PHEV models exploited by an optimal discrete dynamic programming (DDP) algorithm designed to efficiently process vehicle usage cycles over an extended timescale. Our results demonstrate the economic and component lifetime gains afforded by our strategy when compared with alternative rule-based PHEV energy management benchmarks.