Review Article
Advanced Power Management and Control for Hybrid Electric Vehicles: A Survey
Table 1
Main strategies proposed to deal with the real-time optimization.
| Reference | Solution | Highlights |
| [19] | Markov chains and stochastic dynamic programming | (1) Model the road grade as a Markov chain (2) Maintain the SOC within its boundary | [46] | Markov chains and nearest-neighborhood method | (1) Present a three-dimensional Markov chain driver model (2) Update transition probability matrix online | [47] | Markov chains | (1) Classify eight typical driving behaviors (2) Establish driver models under different driving behaviors | [48] | Particle swarm optimization and fuzzy logic | (1) Pay attention to uncertain driving condition (2) Avoid thresholds sensitive to driving cycles | [49] | Neural network | (1) Design a velocity predictor (2) Real-time adaptation | [50] | Reinforcement learning | (1) Present a control-oriented dynamic model (2) Method adaptability under different driving conditions |
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