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Claudio Maino, Antonio Mastropietro, Luca Sorrentino, Enrico Busto, Daniela Misul and Ezio Spessa
Hybrid electric vehicles are, nowadays, considered as one of the most promising technologies for reducing on-road greenhouse gases and pollutant emissions. Such a goal can be accomplished by developing an intelligent energy management system which could ...
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Tao Lei, Yanbo Wang, Xianqiu Jin, Zhihao Min, Xingyu Zhang and Xiaobin Zhang
With the development of high-altitude and long-endurance unmanned aerial vehicles (UAVs), optimization of the coordinated energy dispatch of UAVs? energy management systems has become a key target in the research of electric UAVs. Several different energ...
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Shanzhen Xu, Xiang Tian, Cheng Wang, Youning Qin, Xiaohu Lin, Jingxuan Zhu, Xiaodong Sun and Tiandong Huang
For parallel hybrid electric vehicles (HEVs), the clutch serves as a vital enabling actuator element during mode transitions. The expected drivability and smoothness of parallel HEVs are difficult to be achieve owing to the neglect of clutch-torque-induc...
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Vu Trieu Minh, Reza Moezzi, Jindrich Cyrus and Jaroslav Hlava
This paper reviews the latest studies of hybrid electric vehicles (HEVs) on modelling, controls, and energy management. HEV dynamics, formulas, calculations, and schemes of vehicle parts, such as battery, converter, electric motor, generator, and HEV Sim...
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Yanzhao Su, Minghui Hu, Jin Huang, Ling Su and Datong Qin
Experimental research is essential in the development of a hybrid electric vehicle. In this study, a bench test was conducted for a compound power-split hybrid electric vehicle (PSHEV) to analyze the real dynamic characteristics of its components and the...
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Qicheng Xue, Xin Zhang, Cong Geng and Teng Teng
This paper proposes a novel hybrid power system to improve the shift quality of a hybrid electric vehicle (HEV). After selecting a typical shift scheme, the study focused on the motor rotary velocity control algorithm and coordinated control strategy for...
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Hideki Ogawa and Yasutake Takahashi
Reservoir computing refers to a computational framework based on recurrent neural networks that can process time-series data. In an echo state network (ESN), which is a type of reservoir computing framework, the reservoir consists of a recursive network ...
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Qi Zhang and Xiaoling Fu
Aiming at the problems inherent in the traditional fuzzy energy management strategy (F-EMS), such as poor adaptive ability and lack of self-learning, a neural network fuzzy energy management strategy (NNF-EMS) for hybrid electric vehicles (HEVs) based on...
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Riham Ginzarly, Ghaleb Hoblos and Nazih Moubayed
Due to the accelerating pace of environmental concerns and fear of the depletion of conventional sources of energy, researchers are working on finding renewable energy sources of power for different axes of life. The transportation sector has intervened ...
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Josefa Morales-Morales, Miguel A. Rivera-Cruz, Pedro Cruz-Alcantar, Horacio Bautista Santos, Ilse Cervantes-Camacho and Vladimir A. Reyes Herrera
The use of electric vehicles and their various configurations is seen as a major alternative in efforts towards reducing pollutant emissions from motor vehicles that continue to use fossil fuels. Electric transport technology presents more efficient mean...
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