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

被引:27
作者
Torinsson, Juliette [1 ,2 ]
Jonasson, Mats [2 ]
Yang, Derong [1 ]
Jacobson, Bengt [2 ]
机构
[1] Volvo Car Corp, Dept Vehicle Energy & Mot Control, Gothenburg, Sweden
[2] Chalmers Univ Technol, Dept Vehicle Engn & Autonomous Syst, Gothenburg, Sweden
关键词
Energy optimisation; control allocation; electric vehicles; wheel torque distribution; vehicle motion control;
D O I
10.1080/00423114.2020.1858121
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
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 halfshaft and a coupling to one wheel respectively is driven a 2-h-long city cycle in the vicinity of Goteborg. 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.
引用
收藏
页码:1488 / 1511
页数:24
相关论文
共 22 条
[1]  
Chen Y., 2011, P AM CONTR C
[2]   Energy-Efficient Torque-Vectoring Control of Electric Vehicles With Multiple Drivetrains [J].
De Filippis, Giovanni ;
Lenzo, Basilio ;
Sorniotti, Aldo ;
Gruber, Patrick ;
De Nijs, Wouter .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (06) :4702-4715
[3]   A Fast and Parametric Torque Distribution Strategy for Four-Wheel-Drive Energy-Efficient Electric Vehicles [J].
Dizqah, Arash M. ;
Lenzo, Basilio ;
Sorniotti, Aldo ;
Gruber, Patrick ;
Fallah, Saber ;
De Smet, Jasper .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (07) :4367-4376
[4]   Model-Based Range Extension Control System for Electric Vehicles With Front and Rear Driving-Braking Force Distributions [J].
Fujimoto, Hiroshi ;
Harada, Shingo .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (05) :3245-3254
[5]  
G?hlich D., 2015, EVS28
[6]   A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications [J].
Genikomsakis, Konstantinos N. ;
Mitrentsis, Georgios .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2017, 50 :98-118
[7]  
H?rkeg?rd O., 2003, THESIS, V820
[8]   Control allocation A-survey [J].
Johansen, Tor A. ;
Fossen, Thor I. .
AUTOMATICA, 2013, 49 (05) :1087-1103
[9]  
Martin JF., 1974, TIRE SCI TECHNOL TST, V2, P261
[10]  
Nokian Tyres, RED ROLL RES