Minimizing Energy Consumption and Powertrain Cost of Fuel Cell Hybrid Vehicles with Consideration of Different Driving Cycles and SOC Ranges

Yang Gao, Changhong Liu, Yuan Liang (), Sadegh Kouhestani Hamed, Fuwei Wang and Bo Bi
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Yang Gao: School of Electromechanic Engineering, North Minzu University, Yinchuan 750021, China
Changhong Liu: Mechanical Engineering Department, University of Kansas, Lawrence, KS 66045, USA
Yuan Liang: School of Electromechanic Engineering, North Minzu University, Yinchuan 750021, China
Sadegh Kouhestani Hamed: Mechanical Engineering Department, University of Kansas, Lawrence, KS 66045, USA
Fuwei Wang: School of Electromechanic Engineering, North Minzu University, Yinchuan 750021, China
Bo Bi: School of Electrical and Information Engineering, North Minzu University, Yinchuan 750021, China

Energies, 2022, vol. 15, issue 17, 1-12

Abstract: Hydrogen consumption is an important performance indicator of fuel cell hybrid vehicles (FCHVs). Previous studies have investigated fuel consumption minimization both under different driving cycles and using various power management strategies. However, different constrains on battery state of charge (SOC) ranges can also affect fuel consumption dramatically. In this study, we develop a power-source sizing model based on the Pontryagin’s Minimum Principle (PMP) to minimize the fuel consumption of FCHVs, considering different driving cycles (i.e., FTP-72 and US06) and SOC ranges (conservative 50–60% and aggressive 20–80%). The different driving cycles and SOC ranges present the real-world circumstances of driving FCHVs to some extent. Fuel consumptions are compared both under different driving cycles and using different SOC ranges. The simulation results show an effective power size map, with outlines of an ineffective sizing zone and an inefficient sizing zone based on vehicle performance requirements (e.g., maximum speed and acceleration) and fuel consumption, respectively. Based on the developed model, an optimal power-source size map can be determined while minimizing both fuel consumption and powertrain cost as well as considering different driving cycles and SOC ranges.

Keywords: FCHV; PMP optimal control; energy consumption; powertrain cost (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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