文章基本信息

标题：A Comparative study of Different Hybrid Electric Powertrain Architectures for Heavy-Duty Truck
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作者：Chao Xu ; Kunfang Guo ; Fuyuan Yang 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：31
页码：746-753
DOI：10.1016/j.ifacol.2018.10.136
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, three different hybrid electric powertrain architectures are compared based on a heavy-duty truck running the Chinese-World Transient Vehicle Cycle (C-WTVC). The fuel consumption and battery costs of the different architectures are optimized by using the dynamic programming (DP) approach, based on a dynamic degradation model of the LiFePO4battery. Based on the DP results, near-optimal rule-based control strategies of different powertrains for on-line uses are proposed. Finally, the three architectures are comprehensively compared from different aspects, including fuel economy, initial cost, and payback period in the total cost of ownership. Simulation results show that all architectures have their merits and drawbacks, and can be used in different applications to meet different requirements. In addition, more than 18% fuel economy improvement is achieved when compared to the traditional heavy-duty truck. Under economic scenarios assumptions made, the payback period for hybrid electric heavy-duty trucks are less than six years for the C-WTVC. When economic scenarios assumptions are beneficial toward electrification of vehicles, the shortest payback period will be only three years.
关键词：KeywordsHybrid heavy-duty truckTotal cost of ownershipBattery degradationOptimal sizingDynamic programming