The suddenly released torque that accumulated in the elastic drive shaft will bring torsional vibration and jerking feel at the shifting moment. A novel sliding mode observer is proposed to estimate the torque in drive shaft for a motor-transmission integrated powertrain system. Non-linear external characteristics of a driving motor and non-linear drag torque are considered in the electric powertrain system. In order to attenuate the chatting problem, the second-order super twisting sliding mode algorithm with an adaptive gain is adopted. Furthermore, a term ‘system damping’ is introduced to accelerate the estimation error convergence. The proposed estimation algorithm is tested on test rig for typical operating conditions. The results show that the torque in drive shaft can be estimated satisfactorily and the tracking error converges to 0 in a short time.
Accelerated adaptive super twisting sliding mode observer-based drive shaft torque estimation for electric vehicle with automated manual transmission
IET Intelligent Transport Systems ; 13 , 1 ; 160-167
2018-08-21
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
elastic drive shaft , test rig , variable structure systems , vibrations , electric vehicle , observers , torsional vibration , chatting problem , accelerated adaptive super twisting sliding mode observer-based drive shaft torque estimation , automated manual transmission , adaptive control , shafts , nonlinear external characteristics , motor-transmission integrated powertrain system , power transmission (mechanical) , estimation algorithm , size 0.0 A , system damping , adaptive gain , torque estimation , electric vehicles , jerking feel , driving motor , electric powertrain system , shifting moment , nonlinear drag torqu , estimation theory , second-order super twisting sliding mode algorithm , torque control , estimation error convergence
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