Division and Optimization of Driving Modes of Electric Vehicles with Dual-motor Coupling-propulsion Powertrain - Details

author：

Lin, Xinyou (Lin, Xinyou.) ^[1] (Scholars：林歆悠) | Wu, Jiayun (Wu, Jiayun.) ^[2] | Wei, Shenshen (Wei, Shenshen.) ^[3]

Indexed by：

EI Scopus PKU CSCD

Abstract：

To　give　full　play　to　the　energy　saving　advantage　of　the　multi-drive　mode　of　an　electric　vehicle　equipped　with　dual-motor　coupling-propulsion　powertrain　(DMCP-EV),　a　driving　mode　control　strategy　based　on　optimal　system　efficiency　is　worked　out.　According　to　the　configuration　of　DMCP,　four　driving　modes　are　defined　and　their　dynamic　driving　models　and　system　efficiency　model　are　established　respectively.　On　the　premise　of　meeting　the　requirements　of　power　performance,　the　operation　ranges　of　four　driving　modes　are　analyzed　and　divided.　With　the　system　efficiency　as　optimization　objective,　an　optimization　is　conducted　by　using　particle　swarm　optimization　algorithm,　and　an　optimal　strategy　for　driving　mode　switching　and　torque　distribution　is　obtained.　Finally,　a　validation　is　performed　by　both　Matlab/Simulink　simulation　and　hardware-in-the-loop　experiment.　The　results　show　that　the　driving　mode　with　system　efficiency　optimized　can　effectively　enhance　the　energy　economy　of　DMCP-EV,　with　its　energy　consumption　reducing　by　11%　while　meeting　the　requirements　of　power　performance.　©　2020,　Society　of　Automotive　Engineers　of　China.　All　right　reserved.

Keyword：

Electric vehicles Energy efficiency Energy utilization MATLAB Optimal systems Particle swarm optimization (PSO) Powertrains Propulsion Traction motors

Community：

[ 1 ] [Lin, Xinyou]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350002, China
[ 2 ] [Lin, Xinyou]Key Laboratory of Advanced Manufacture Technology for Automobile Parts, Chongqing University of Technology, Ministry of Education, Chongqing; 400054, China
[ 3 ] [Wu, Jiayun]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350002, China
[ 4 ] [Wei, Shenshen]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350002, China

Reprint 's Address：

林歆悠
[lin, xinyou]key laboratory of advanced manufacture technology for automobile parts, chongqing university of technology, ministry of education, chongqing; 400054, china;;[lin, xinyou]college of mechanical engineering and automation, fuzhou university, fuzhou; 350002, china

Email：

linxinyoou@fzu.edu.cn

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