Gear Ratio Optimization of a Multi-Speed Transmission for Electric Dump Truck Operating on the Structure Route

Senqi Tan, Jue Yang, Xinxin Zhao, Tingting Hai and Wenming Zhang
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Senqi Tan: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Jue Yang: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Xinxin Zhao: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Tingting Hai: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Wenming Zhang: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Energies, 2018, vol. 11, issue 6, 1-17

Abstract: Research demonstrated that the application of a multi-speed transmission could improve the dynamic and economic performance of electric vehicles. This paper deals with a novel multi-speed transmission for the electric dump truck (EDT) operating on the structure route (SR), which has a definite starting point and end point without complex traffic conditions. To optimize the gear ratio and shift schedule to reduce energy consumption in such conditions, the mathematical model of the transmission and the dynamic model of the EDT are initially required. Following this, the shift schedule is presented according to the motor efficiency map. After that, the gear ratio optimization is carried out by a particle swarm optimization (PSO) algorithm. Moreover, the proposed EDT is compared with an EDT with a single-speed transmission. The simulation results show that the energy consumption is reduced by 6.1%.

Keywords: electric dump truck; structure route; energy efficiency; gear ratio optimization; performance analysis (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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