Automotive Innovation ›› 2019, Vol. 2 ›› Issue (2): 146-156.doi: 10.1007/s42154-019-00059-z
• • 上一篇
Driving-Cycle-Aware Energy Management of Hybrid Electric Vehicles Using a Three-Dimensional Markov Chain Model
Bolin Zhao1, Chen Lv2, Theo Hofman1
1. Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Driving-Cycle-Aware Energy Management of Hybrid Electric Vehicles Using a Three-Dimensional Markov Chain Model
Bolin Zhao1, Chen Lv2, Theo Hofman1
1. Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
摘要：
This
study developed a new online driving cycle prediction method for hybrid
electric vehicles based on a three-dimensional stochastic Markov chain model
and applied the method to a driving-cycle-aware energy management strategy. The
impacts of different prediction time lengths on driving cycle generation were
explored. The results indicate that the original driving cycle is compressed by
50%, which significantly reduces the computational burden while having only a
slight effect on the prediction performance. The developed driving cycle
prediction method was implemented in a real-time energy management algorithm
with a hybrid electric vehicle powertrain model, and the model was verified by
simulation using two different testing scenarios. The testing results
demonstrate that the developed driving cycle prediction method is able to
efficiently predict future driving tasks, and it can be successfully used for
the energy management of hybrid electric vehicles.