scholarly journals Data-Driven Predictive Torque Coordination Control during Mode Transition Process of Hybrid Electric Vehicles

Energies ◽  
2017 ◽  
Vol 10 (4) ◽  
pp. 441 ◽  
Author(s):  
Jing Sun ◽  
Guojing Xing ◽  
Chenghui Zhang
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Transition Process ◽  
Data Driven ◽  
Mode Transition ◽  
Coordination Control ◽  
Hybrid Electric

scholarly journals A Novel Control Method of Clutch During Mode Transition of Single-Shaft Parallel Hybrid Electric Vehicles

Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 54 ◽  
Author(s):  
Jingang Ding ◽  
Xiaohong Jiao
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Control Method ◽  
Transition Process ◽  
Operating Mode ◽  
Mode Transition ◽  
Control Approach ◽  
Proportional Integral ◽  
Parallel Hybrid ◽  
Hybrid Electric

The mode transition of single-shaft parallel hybrid electric vehicles (HEVs) between engine and motor has an important impact on power and drivability. Especially, in the process of mode transition from the pure motor-drive operating mode to the only engine-drive operating mode, the motor starting engine and the clutch control problem have an important influence on driving quality, and solutions have a bit of room for improving dynamic performance. In this paper, a novel mode transition control method is proposed to guarantee a fast and smooth mode transition process in this regard. First, an adaptive sliding mode control (A-SMC) strategy is presented to obtain the desired torque trajectory of the clutch transmission. Second, a proportional-integral (PI) observer is designed to estimate the actual transmission torque of the clutch. Meanwhile, a fractional order proportional-integral-differential (FOPID) controller with the optimized control parameters by particle swarm optimization (PSO) is employed to realize the accurate position tracking of the direct current (DC) motor clutch so as to ensure clutch transmission torque tracking. Finally, the effectiveness and adaptability to system parameter perturbation of the proposed control approach are verified by comparison with the traditional control strategy in a MATLAB environment. The simulation results show that the driving quality of the closed-loop system using the proposed control approach is obviously improved due to fast and smooth mode transition process and better adaptability.

scholarly journals Data-driven Energy Management Strategy for Plug-in Hybrid Electric Vehicles with Real-World Trip Information

2020 ◽  
Vol 53 (2) ◽  
pp. 14224-14229
Author(s):  
Yongkeun Choi ◽  
Jacopo Guanetti ◽  
Scott Moura ◽  
Francesco Borrelli
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Real World ◽  
Management Strategy ◽  
Hybrid Electric Vehicles ◽  
Data Driven ◽  
Energy Management Strategy ◽  
Hybrid Electric

Naturalistic Data-Driven Predictive Energy Management for Plug-in Hybrid Electric Vehicles

2020 ◽  
pp. 1-1
Author(s):  
Xiaolin Tang ◽  
Tong Jia ◽  
Xiaosong Hu ◽  
Yanjun Huang ◽  
Zhongwei Deng ◽  
...  
Keyword(s):  
Energy Management ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Data Driven ◽  
Hybrid Electric

scholarly journals Data-driven based eco-driving control for plug-in hybrid electric vehicles

2021 ◽  
Vol 498 ◽  
pp. 229916
Author(s):  
Jie Li ◽  
Yonggang Liu ◽  
Yuanjian Zhang ◽  
Zhenzhen Lei ◽  
Zheng Chen ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Data Driven ◽  
Hybrid Electric

A novel data-driven controller for plug-in hybrid electric vehicles with improved adaptabilities to driving environment

2021 ◽  
pp. 130250
Author(s):  
Yu Liu ◽  
Yuanjian Zhang ◽  
Hanzhengnan Yu ◽  
Zhigen Nie ◽  
Yonggang Liu ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Data Driven ◽  
Hybrid Electric
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