Optimization of Energy Management Strategy for Multi-Mode Hybrid Transmission Based on Condition Prediction
Optimization of Energy Management Strategy for Multi-Mode Hybrid Transmission Based on Condition Prediction
- New search for: Zhang, J.G.
- New search for: Zhao, Xinxin
- New search for: Jiang, Y.T.
- New search for: Zhang, J.G.
- New search for: Zhao, Xinxin
- New search for: Jiang, Y.T.
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.
Document information
Optimization of Energy Management Strategy for Multi-Mode Hybrid Transmission Based on Condition Prediction
Sae Technical Papers
SAE 2023 Vehicle Powertrain Diversification Technology Forum ; 2023
2023-10-30
Conference paper
English
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