Optimization of Energy Management Strategy for Multi-Mode Hybrid
Transmission Based on Condition Prediction 2023-01-7032
Since there are no typical working conditions in the field of engineering
vehicles, this paper implements the construction of driving conditions based on
Markov stochastic model and energy management strategy of a multi-mode hybrid
mine dump truck based on dynamic programming algorithm under this background.
Firstly, on the basis of existing vehicle driving data, we calculate the
velocity transfer probability matrix with the Markov stochastic model, and then
construct the vehicle driving condition after predicting the velocity. The
constructed working conditions are applied to the energy management strategy of
dynamic programming algorithm to calculate the energy consumption of the hybrid
mining truck. It is proved that this construction method can be applied to the
hybrid electric mine dump truck, and the DP based energy management strategy has
lower energy consumption.