Administrator by China Associction for Science and Technology
Sponsored by China Society of Automotive Engineers
Published by AUTO FAN Magazine Co. Ltd.

Automotive Engineering ›› 2019, Vol. 41 ›› Issue (8): 859-864.doi: 10.19562/j.chinasae.qcgc.2019.08.001

    Next Articles

Subjective and Objective Driveability Evaluation ofTCU Shift Strategy Driven by Driving Simulator

Zhan Jun, Liu Rong, Chen Haodong, Guan Xin, Wang Zhangu   

  1. Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun 130022
  • Received:2018-10-27 Online:2019-08-25 Published:2019-09-03

Abstract: The influence of TCU shift strategy on vehicle driveability is mostly tested and validated by subjective evaluation. For the problem that the subjective evaluation of TCU shift strategy cannot be realized by software-in-the-loop and hardware-in-the-loop simulation methods, a subjective driveability evaluation method of TCU shift strategy by driving simulator is proposed. Firstly, in this paper, the evaluation platform of human-vehicle-environment closed loop TCU shift strategy with embedded driving simulator AutoBox is built, the TCU shift strategy model which can identify driving intention and road environment is established. and the subjective and objective evaluation forms of driveability related to TCU shift strategy are proposed. Then, the subjective and objective evaluation of the established TCU shift strategy is carried out by using the built platform, and the subjective score results and objective evaluation index are obtained. Through analysis and evaluation, the feasibility of drivability evaluation platform on TCU shift strategy with the driving simulator and the research method are verified. The platform and method can be used for the rapid subjective and objective evaluation of driveability of the TCU shift strategy, which effectively reduces the the workload of real vehicle test and evaluation, cuts development costs, and shorten the development cycle

Key words: driving simulator, TCU, shift strategy, driveability evaluation