@ARTICLE{ iet:/content/journals/10.1049/iet-its.2018.5057, author = {Benben Chai}, author = {Jianwu Zhang}, author = {Shaofang Wu}, keywords = {driving cycles;robust shift process control;torque control;electric powertrain;optimal shift schedule;two-speed transmission;motor size reduction;driveline oscillation;robust speed controller;electric vehicles;dynamic programming methods;anti jerking robust controller;robust shifting control;vibration attenuation;directly coupled traction motor;motor-transmission integrated system;electric drive system;speed control;unsatisfied speed regulation;speed synchronisation capability;energy-saving shift schedule;control hierarchy;energy efficiency improvement;}, ISSN = {1751-956X}, language = {English}, abstract = {Electric drive system with directly coupled traction motor and two-speed transmission is a good choice for electric vehicles because of the potential in energy efficiency improvement and motor size reduction. Here, a control hierarchy of the electric powertrain has been applied, which comprises an optimal shift schedule at entire driving cycles as well as torque and speed control of the traction motor at the certain shift process. Firstly, the energy-saving shift schedule is investigated by dynamic programming methods. Then, bench tests of the integrated motor-transmission system are conducted. The oscillation of driveline and unsatisfied speed regulation of the traction motor are observed in the experiment results, which will deteriorate the shift performance. Therefore, an anti-jerking robust controller is designed to attenuate the vibration of the powertrain and a robust speed controller is proposed to enhance the speed synchronisation capability of the traction motor. Simulation results indicate that the obtained shift schedule is effective to improve the energy efficiency and the robust shift process control can enhance the drive ability.}, title = {Robust shifting control of a motor-transmission integrated system considering anti-jerking and speed regulation for electric vehicles}, journal = {IET Intelligent Transport Systems}, issue = {1}, volume = {13}, year = {2019}, month = {January}, pages = {141-152(11)}, publisher ={Institution of Engineering and Technology}, copyright = {© The Institution of Engineering and Technology}, url = {https://digital-library.theiet.org/;jsessionid=8p2x4kvjowq6.x-iet-live-01content/journals/10.1049/iet-its.2018.5057} }