Design optimization of the transmission system for electric vehicles considering the dynamic efficiency of the regenerative brake

Bolin Zhao, Chen Lv, Theo Hofman, Maarten Steinbuch, Junzhi Zhang, Dongpu Cao

Research output: Contribution to journalConference articleAcademicpeer-review

3 Downloads (Pure)

Abstract

In this paper, gear ratios of a two-speed transmission system are optimized for an electric passenger car. Quasi static system models, including the vehicle model, the motor, the battery, the transmission system, and drive cycles are established in MATLAB/Simulink at first. Specifically, since the regenerative braking capability of the motor is affected by the SoC of battery and motors torque limitation in real time, the dynamical variation of the regenerative brake efficiency is considered in this study. To obtain the optimal gear ratios, iterations are carried out through Nelder-Mead algorithm under constraints in MATLAB/Simulink. During the optimization process, the motor efficiency is observed along with the drive cycle, and the gear shift strategy is determined based on the vehicle velocity and acceleration demand. Simulation results show that the electric motor works in a relative high efficiency range during the whole drive cycle. The energy economy of the case-study vehicle with the optimized a two-speed transmission is also compared to that of the baseline vehicle with fixed-ratio reduction gear.

Original languageEnglish
Article number2018-01-0819
Number of pages7
JournalSAE Technical Papers
Volume2018
DOIs
Publication statusPublished - 1 Jan 2018
Event2018 SAE World Congress Experience (WCX 2018) - Detroit, United States
Duration: 10 Apr 201812 Apr 2018
http://saeevents.org/events/wcx18-sae-world-congress-experience

Fingerprint Dive into the research topics of 'Design optimization of the transmission system for electric vehicles considering the dynamic efficiency of the regenerative brake'. Together they form a unique fingerprint.

Cite this