Research on Energy Management Strategy of Fuel Cell Electric Tractor Based on Multi-Algorithm Fusion and Optimization

Hongtu Yang, Yan Sun (), Changgao Xia () and Hongdang Zhang
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Hongtu Yang: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
Yan Sun: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
Changgao Xia: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
Hongdang Zhang: Department of Vehicle Engineering, Changzhou Vocational Institute of Mechatronic Technology, Changzhou 213164, China

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

Abstract: To solve the serious pollution problems of traditional fuel tractors and the short continuous operation time of pure electric tractors, a hybrid tractor with fuel cell as the primary power source and battery as the auxiliary power source is proposed. A novel energy management strategy was also designed, which integrates thermostat control strategy, power following strategy, and fuzzy logic control. The energy management strategy utilizes the advantages of different algorithms and realizes the rational distribution of fuel cell and battery output power. The system economy and fuel cell durability are improved by the tabu search algorithm. The simulation results show that the proposed energy management strategy can work well in different SOC states and reduce the fuel cell’s power fluctuations. The tractor is equipped with 960 g of hydrogen, the initial state of charge (SOC) is 90%, and it can operate continuously for 2.65 h.

Keywords: fuel cell; energy management; power following strategy; fuzzy logic control strategy; tabu search algorithm (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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