Energy reduction by power loss minimisation through wheel torque allocation in electric vehicles: a simulation-based approach

• Published in: Vehicle system dynamics Vol. 60; no. 5; pp. 1488 - 1511
• Main Authors: Torinsson, Juliette, Jonasson, Mats, Yang, Derong, Jacobson, Bengt
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 04.05.2022; Taylor & Francis Ltd
• Subjects: Algorithms; control allocation; Electric motors; Electric power loss; Electric vehicles; Energy consumption; Energy optimisation; Lookup tables; Optimization; Quadratic programming; Reduction; Tires; Torque; vehicle motion control; Vehicles; wheel torque distribution
• ISSN: 0042-3114; 1744-5159; 1744-5159
• DOI: 10.1080/00423114.2020.1858121

As vehicles become increasingly electrified, electrical machines for propulsion can be divided into many sources making the vehicle highly over-actuated. For over-actuated vehicles, the allocation of a propulsive force is an underdetermined process with respect to both the number of wheels and electrical machines. Hence, the allocation can be made to favour particular attributes such as energy consumption. In this study, a vehicle equipped with four identical electric motors with a fixed transmission ratio connected through a half-shaft and a coupling to one wheel respectively is driven a 2-h-long city cycle in the vicinity of Göteborg. Two different control allocation methods are presented to distribute torque momentaneously based on driver request while minimising power losses in electric motor and inverter as well as tyres. One method is a quadratic programming optimisation and the other is an offline exhaustive search method resulting in a look-up table based on requested torque and actual speed. The two methods are compared to other torque distribution strategies based on fixed distribution ratio and equal tyre-to-road friction utilisation. It was found that using the developed optimisation algorithms, a reduction of up to 3.9 in energy consumption can be obtained.