Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4976775 | Mechanical Systems and Signal Processing | 2018 | 14 Pages |
Abstract
In order to improve oscillation damping control performance as well as gear shift quality of electric vehicle equipped with integrated motor-transmission system, a cloud-based shaft torque estimation scheme is proposed in this paper by using measurable motor and wheel speed signals transmitted by wireless network. It can help reduce computational burden of onboard controllers and also relief network bandwidth requirement of individual vehicle. Considering possible delays during signal wireless transmission, delay-dependent full-order observer design is proposed to estimate the shaft torque in cloud server. With these random delays modeled by using homogenous Markov chain, robust Hâ performance is adopted to minimize the effect of wireless network-induced delays, signal measurement noise as well as system modeling uncertainties on shaft torque estimation error. Observer parameters are derived by solving linear matrix inequalities, and simulation results using acceleration test and tip-in, tip-out test demonstrate the effectiveness of proposed shaft torque observer design.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Xiaoyuan Zhu, Hui Zhang, Bo Yang, Guichen Zhang,