Comparison of Two Energy Management Strategies Considering Power System Durability for PEMFC-LIB Hybrid Logistics Vehicle

Jianying Liang, Yankun Li, Wenya Jia, Weikang Lin and Tiancai Ma
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Jianying Liang: CRRC Qingdao Sifang Co. Ltd., Qingdao 266111, China
Yankun Li: CRRC Qingdao Sifang Co. Ltd., Qingdao 266111, China
Wenya Jia: School of Automotive Studies, Tongji University, Shanghai 201804, China
Weikang Lin: School of Automotive Studies, Tongji University, Shanghai 201804, China
Tiancai Ma: School of Automotive Studies, Tongji University, Shanghai 201804, China

Energies, 2021, vol. 14, issue 11, 1-24

Abstract: For commercial applications, the durability and economy of the fuel cell hybrid system have become obstacles to be overcome, which are not only affected by the performance of core materials and components, but also closely related to the energy management strategy (EMS). This paper takes the 7.9 t fuel cell logistics vehicle as the research object, and designed the EMS from two levels of qualitative and quantitative analysis, which are the composite fuzzy control strategy optimized by genetic algorithm and Pontryagin’s minimum principle (PMP) optimized by objective function, respectively. The cost function was constructed and used as the optimization objective to prolong the life of the power system as much as possible on the premise of ensuring the fuel economy. The results indicate that the optimized PMP showed a comprehensive optimal performance, the hydrogen consumption was 3.481 kg/100 km, and the cost was 13.042 $/h. The major contribution lies in that this paper presents a method to evaluate the effect of different strategies on vehicle performance including fuel economy and durability of the fuel cell and battery. The comparison between the two totally different strategies helps to find a better and effective solution to reduce the lifetime cost.

Keywords: proton exchange membrane fuel cell; energy management strategy; fuzzy control; Pontryagin’s minimum principle; multi-objective optimization (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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