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Title: Economic optimisation of range-extended electric bus based on AMGA algorithm

Authors: Yunfei Zha; Ronghui Guo; Fangwu Ma; Jinlong Song

Addresses: School of Mechanical and Automotive Engineering, 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 Automotive Engineering, Fujian University of Technology, Fuzhou, 350118, China ' School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou, 350118, China; State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, 130022, China ' School of Mechanical and Electrical Engineering, Tan Kah Kee College, Xiamen University, Xiamen, 363105, China; School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou, 350118, China

Abstract: The power of a range-extended electric bus comes from its battery and range-extender. How to design the range-extender working point for the vehicle in the process of running is the key factor to achieve energy conservation and emission reduction. To solve this problem, a vehicle model was built by using AVL Cruise simulation software. Through Cruise and Isight co-simulation optimisation, a multi-objective optimisation model for per 100-km fuel consumption and pollutant emission is established. Optimal variables include upper and lower limits of the power unit and working point of the range-extender. Adaptive mutation genetic algorithm (AMGA) was used as optimisation algorithm. Results showed that fuel consumption and pollutant emissions were effectively reduced. The per 100-km fuel consumption decreased by 48.0%, carbon monoxide emission decreased by 49.6%, hydrocarbon emission decreased by 47.28%, and nitrogen oxide emission decreased by 51.1%. The economics of range-extended electric bus have been greatly improved.

Keywords: range-extended electric bus; economic optimisation; AMGA algorithm; multi-objective optimisation; range-extender; power unit; optimal working point; fuel consumption; pollutant emissions; co-simulation.

DOI: 10.1504/IJVSMT.2020.108653

International Journal of Vehicle Systems Modelling and Testing, 2020 Vol.14 No.1, pp.83 - 95

Received: 03 Jan 2019
Accepted: 03 Jul 2019

Published online: 21 Jul 2020 *

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