System design and energetic characterization of a four-wheel-driven series–parallel hybrid electric powertrain for heavy-duty applications

2015 ◽  
Vol 106 ◽  
pp. 1264-1275 ◽  
Author(s):  
Enhua Wang ◽  
Di Guo ◽  
Fuyuan Yang
Keyword(s):  
System Design ◽  
Heavy Duty ◽  
Energetic Characterization ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain

scholarly journals Efficiency Improvement of a Series–Parallel Hybrid Electric Powertrain by Topology Modification

2019 ◽  
Vol 68 (12) ◽  
pp. 11523-11531 ◽  
Author(s):  
Bilal Kabalan ◽  
Emmanuel Vinot ◽  
Cheng Yuan ◽  
Rochdi Trigui ◽  
Clement Dumand ◽  
...  
Keyword(s):  
Efficiency Improvement ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Hybrid Electric Powertrain ◽  
Topology Modification

scholarly journals Optimal Energy Control Strategy Design for a Hybrid Electric Vehicle

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Yuan Zou ◽  
Hou Shi-jie ◽  
Li Dong-ge ◽  
Gao Wei ◽  
Xiao-song Hu
Keyword(s):  
Optimal Control ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Heavy Duty ◽  
Dynamic Features ◽  
Optimal Control Strategy ◽  
Energy Control ◽  
Optimal Energy ◽  
Parallel Hybrid ◽  
Hybrid Electric

A heavy-duty parallel hybrid electric truck is modeled, and its optimal energy control is studied in this paper. The fundamental architecture of the parallel hybrid electric truck is modeled feed-forwardly, together with necessary dynamic features of subsystem or components. Dynamic programming (DP) technique is adopted to find the optimal control strategy including the gear-shifting sequence and the power split between the engine and the motor subject to a battery SOC-sustaining constraint. Improved control rules are extracted from the DP-based control solution, forming near-optimal control strategies. Simulation results demonstrate that a significant improvement on the fuel economy can be achieved in the heavy-duty vehicle cycle from the natural driving statistics.

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