Lookup NU author(s): Professor Xiaofeng Yin,
Professor Volker Pickert,
Dr Wei Li
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
To optimize the comprehensive performance of electric vehicles (EVs) equipped with automated manual transmission (AMT), a performance evaluation function that takes into account dynamic performance, economic performance and driver's driving intentions is put forward. The approach proposed in this paper is based on a gearshift schedule optimization method based on genetic algorithm (GA) using the evaluation function as objective, the accelerator pedal position and velocity as design variables, and using motor efficiency to narrow solution space. Five gearshift schedules representing different driver's intentions have been developed for a 3-speed AMT. Simulation results show that the proposed GA-based optimization method can improve the comprehensive performance of EV equiped with AMT effectively.
Author(s): Yin XF, Pickert V, Wu XH, Sun H, Li W
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2015 IEEE Transportation Electrification Conference and Expo (ITEC)
Year of Conference: 2015
Print publication date: 01/01/2015
Online publication date: 27/07/2015
Acceptance date: 01/01/1900
Library holdings: Search Newcastle University Library for this item