Research on Energy Delivery of a Series–Parallel Hybrid Electric Vehicle Under Different Driving Conditions

2021 ◽  
pp. 621-633
Author(s):  
Chunming Li ◽  
Xiaoxia Sun ◽  
Chunming Shao ◽  
Lining Yang ◽  
Chenglong Shu ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Parallel Hybrid Electric Vehicle ◽  
Energy Delivery ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Driving Conditions

Energy Management in a Parallel Hybrid Electric Vehicle for Different Driving Conditions

2014 ◽  
Vol 3 (2) ◽  
pp. 193-212 ◽  
Author(s):  
Mirko Schulze ◽  
Rashad Mustafa ◽  
Benjamin Tilch ◽  
Peter Eilts ◽  
Ferit Küçükay
Keyword(s):  
Electric Vehicle ◽  
Energy Management ◽  
Hybrid Electric Vehicle ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Driving Conditions

Control Unit Development for Parallel Hybrid Electric Vehicle

2012 ◽  
Author(s):  
Jeong Soo Eo ◽  
DongHoon Won ◽  
Yong-Seok Kim ◽  
Myungwon Lee
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Unit ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric

Research on Dynamic Torque Control Strategy for Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 228-229 ◽  
pp. 951-956 ◽  
Author(s):  
Yun Bing Yan ◽  
Fu Wu Yan ◽  
Chang Qing Du
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Dynamic Control ◽  
Torque Control ◽  
Engine Torque ◽  
Parallel Hybrid Electric Vehicle ◽  
Torque Control Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric

It is necessary for Parallel Hybrid Electric Vehicle (PHEV) to distribute energy between engine and motor and to control state-switch during work. Aimed at keeping the total torque unchanging under state-switch, the dynamic torque control algorithm is put forward, which can be expressed as motor torque compensation for engine after torque pre-distribution, engine speed regulation and dynamic engine torque estimation. Taking Matlab as the platform, the vehicle control simulation model is built, based on which the fundamental control algorithm is verified by simulation testing. The results demonstrate that the dynamic control algorithm can effectively dampen torque fluctuations and ensures power transfer smoothly under various state-switches.

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