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Gao, Song
College of Transportation and Vehicle Engineering, Shandong University of Technology, 266# Xincun Road, Zibo City 255000
Engineering

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Development of Braking Force Distribution Strategy for Dual-Motor-Drive Electric Vehicle Sun, Binbin; Wang, Pengwei; Gao, Song; Yu, Jie; Wang, Zhangu
Journal of Engineering and Technological Sciences Vol 50, No 2 (2018)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1037.253 KB) | DOI: 10.5614/j.eng.technol.sci.2018.50.2.3

Abstract

In the development of the optimal braking force distribution strategy for a dual-motor-drive electric vehicle (DMDEV) with a series cooperative braking system, three key factors were taken into consideration, i.e. the regenerative force distribution coefficient between the front and the rear motor (β), the energy recovery coefficient at the wheels (α3), and the front-and-rear-axle braking force distribution coefficient (λ). First, the overall power loss model of the two surface-mounted permanent magnetic synchronous motors (SMPMSMs) was created based on the d-q axis equivalent circuit model. The optimal relationship of β and the overall efficiency of the dual-motor system were confirmed, where the latter was quite different from that obtained from the traditional look-up table method for the motors’ efficiency. Then, four dimensionless evaluation coefficients were used to evaluate braking stability, regenerative energy transfer efficiency, and energy recovery at the wheels. Finally, based on several typical braking operations, the comprehensive effects of the four coefficients on braking stability and energy recovery were revealed. An optimal braking force distribution strategy balancing braking stability and energy recovery is suggested for a DMDEV with a series cooperative braking system.
Development of Drive Control Strategy for Front-and-Rear-Motor-Drive Electric Vehicle (FRMDEV) Sun, Binbin; Li, Bo; Wang, Yongjun; Ge, Wenqing; Gao, Song
Journal of Engineering and Technological Sciences Vol 50, No 5 (2018)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2018.50.5.9

Abstract

In order to achieve both high-efficiency drive and low-jerk mode switch in FRMDEVs, a drive control strategy is proposed, consisting of top-layer torque distribution aimed at optimal efficiency and low-layer coordination control improving mode-switch jerk. First, with the use of the off-line particle swarm optimization algorithm (PSOA), the optimal switching boundary between single-motor-drive mode (SMDM) and dual-motor drive mode (DMDM) was modelled and a real-time torque distribution model based on the radial basis function (RBF) was created to achieve the optimal torque distribution. Then, referring to the dynamic characteristics of mode switch tested on a dual-motor test bench, a torque coordination strategy by controlling the variation rate of the torque distribution coefficient during the mode-switch process was developed. Finally, based on a hardware-in-loop (HIL) test platform and an FRMDEV, the proposed drive control strategy was verified. The test results show that both drive economy and comfort were improved significantly by the use of the developed drive control strategy.
Co-Authors Bo LI Ge, Wenqing Sun, Binbin Wang, Pengwei Wang, Yongjun Wang, Zhangu Yu, Jie