Title: Optimisation of control strategy of a range-extended electric bus

Authors: Yunfei Zha; Jinlong Song; Qingyong Zhang; Guoqing Liu; Ronghui Guo

Addresses: The Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, Fujian University of Technology, Fuzhou, 350118, China; Collaborative Innovation Center for R&D of Coach and Special Vehicle, Xiamen University of Technology, Xiamen, 361024, China ' School of Mechanical and Electrical Engineering, Xiamen University, Tan Kah Kee College, Xiamen, 363105, China; The Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, Fujian University of Technology, Fuzhou, 350118, China ' The Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, Fujian University of Technology, Fuzhou, 350118, China ' The Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, Fujian University of Technology, Fuzhou, 350118, China ' The Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, Fujian University of Technology, Fuzhou, 350118, China

Abstract: The aim of the present study was to optimise the cycle fuel consumption and energy consumption of a range-extended electric bus. The optimal variables included the final drive ratio of the main decelerator, the upper and lower limits of the power unit and the speed threshold. NSGA-II was used as the optimisation algorithm. The optimisation results showed that the overall economy behaviour of the bus was improved, while climbing performance increased by 43.77%. The stability of dynamic performances was acceptable and only slight fluctuations were found in the maximum speed and the acceleration duration from 0 km/h to 50 km/h. Although the power consumption increased by 0.6%, per 100 km fuel consumption decreased by 32.98%. The results showed that the optimisation strategies, optimisation objectives and optimisation variables applied in this paper were reasonable and effective.

Keywords: range extended vehicle; control strategy; CRUISE simulation; optimisation.

DOI: 10.1504/IJEHV.2019.098705

International Journal of Electric and Hybrid Vehicles, 2019 Vol.11 No.1, pp.1 - 11

Received: 03 Jan 2018
Accepted: 11 Feb 2018

Published online: 25 Mar 2019 *

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