Maximizing Driving Range for Fuel Cell Range Extender Vehicles With Fixed Energy Storage Costs

被引:7
|
作者
Dong, Jingting [1 ]
Bauman, Jennifer [1 ]
机构
[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4K1, Canada
关键词
Fuel cells; Batteries; Hydrogen; Costs; Optimization; Fuels; State of charge; fuel cells; modeling; optimization methods; vehicles; HYBRID ELECTRIC VEHICLES; MANAGEMENT STRATEGY;
D O I
10.1109/TTE.2022.3200030
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Industry and researchers are investigating both battery electric vehicles (BEVs) and fuel cell hybrid vehicles (FCHVs) for the future of sustainable passenger vehicle technology. While BEVs have clear efficiency advantages, FCHVs have key benefits in terms of refueling time and energy density. This article first proposes the concept of a fuel cell range extender vehicle (FCREV) that uses whole-day driving prediction (WDDP) control, which uses driver destination inputs to determine whether the planned driving trips that day will exceed the useable battery energy capacity. If so, the fuel cell is turned on at the start of the day. The benefit of WDDP control is that a smaller, lower cost fuel cell can be used to greatly extend the driving range since the fuel cell can charge the battery during both driving and parked periods of the day. Furthermore, this research proposes a fast analytical optimization algorithm for designing a WDDP-FCREV to maximize the range on a given drive cycle for a set cost. The results show that an optimized WDDP-FCREV can greatly exceed the range of the same-cost BEV, by 105%-150% for no H-2 refueling and by 150%-250% when H-2 refueling is allowed every 4 h.
引用
收藏
页码:1042 / 1059
页数:18
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