Optimization of gear ratio and power distribution for a multimotor powertrain of an electric vehicle. Issue 2 (1st February 2018)

• Record Type: Journal Article
• Authors: Urbina Coronado, Pedro Daniel; Orta Castañón, Pedro; Ahuett-Garza, Horacio
• Is Part Of: Engineering optimization. Volume 50:Issue 2(2018)
• Page Start: 293
• Page End: 309
• Publication Date: 2018-02-01
• Subjects: Powertrain -- electric vehicle -- genetic algorithm -- divide-and-conquer -- multimotor; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2017.1302439
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: The architecture and design of the propulsion system of electric vehicles are highly important for the reduction of energy losses. This work presents a powertrain composed of four electric motors in which each motor is connected with a different gear ratio to the differential of the rear axle. A strategy to reduce energy losses is proposed, in which two phases are applied. Phase 1 uses a divide-and-conquer approach to increase the overall output efficiency by obtaining the optimal torque distribution for the electric motors. Phase 2 applies a genetic algorithm to find the optimal value of the gear ratios, in which each individual of each generation applies Phase 1. The results show an optimized efficiency map for the output torque and speed of the powertrain. The increase in efficiency and the reduction of energy losses are validated by the use of numerical experiments in various driving cycles.