Journal
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
Volume 22, Issue 3, Pages 761-770Publisher
KOREAN SOC AUTOMOTIVE ENGINEERS-KSAE
DOI: 10.1007/s12239-021-0069-4
Keywords
Electro-mechanical transmission; Control strategy; Stochastic dynamic programming; Double Markov model
Funding
- Program for New Century Excellent Talents in University [NCET-12-0048]
- National Natural Science Foundation of China [51775040]
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This study analyzes the driving demand and system dynamics of heavy-duty vehicles equipped with EMT, and proposes a double Markov model and a power distribution control strategy based on SDP. Transfer probability matrices are calculated using the maximum likelihood estimation method, and a model for power allocation control based on SDP is established.
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.
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