Based on an analysis of the driving demand and system dynamics of heavy-duty vehicles equipped with electromechanical transmission (EMT), a double Markov model is put forward to represent drivers’ power demand for driving and electricity. Transfer probability matrices are calculated by utilizing the maximum likelihood estimation method. A power distribution control strategy based on stochastic dynamic programming (SDP) is proposed. With economy being the optimization goal, the model for power allocation control based on SDP is established while regarding the engine torque, motor speeds, vehicle speed and state of charge (SOC) as state variables’ engine speed and motor torques as control variables’ and power demands as interference variables. The SDP problem is solved by an improved policy iteration algorithm based on value iteration and policy iteration algorithms.
Control Strategy for an Electromechanical Transmission Vehicle Based on a Double Markov Process
Int.J Automot. Technol.
International Journal of Automotive Technology ; 22 , 3 ; 761-770
2021-06-01
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
COORDINATED CONTROL OVER HYBRID VEHICLE ELECTROMECHANICAL TRANSMISSION
Europäisches Patentamt | 2015
|SELF-PROPELLED VEHICLE ELECTROMECHANICAL TRANSMISSION
Europäisches Patentamt | 2018
|SELF-PROPELLED VEHICLE ELECTROMECHANICAL TRANSMISSION
Europäisches Patentamt | 2018
|SELF-PROPELLED VEHICLE ELECTROMECHANICAL TRANSMISSION
Europäisches Patentamt | 2017
|Model predictive control method for electromechanical composite transmission vehicle
Europäisches Patentamt | 2015
|