Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Feiyan Qin"'
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
In uncertain environments with robot input saturation, both model-based reinforcement learning (MBRL) and traditional controllers struggle to perform control tasks optimally. In this study, an algorithmic framework of Curiosity Model Policy Optimizat
Externí odkaz:
https://doaj.org/article/c50308bf5c914caabb79c6e68a305c59
Publikováno v:
Algorithms, Vol 11, Iss 3, p 33 (2018)
Hybrid electric vehicles are a compromise between traditional vehicles and pure electric vehicles and can be part of the solution to the energy shortage problem. Energy management strategies (EMSs) are highly related to energy utilization in HEVs’
Externí odkaz:
https://doaj.org/article/3824045d63d04914a53251957b76b6b1
Publikováno v:
Applied Sciences, Vol 8, Iss 2, p 187 (2018)
An energy management strategy (EMS) is important for hybrid electric vehicles (HEVs) since it plays a decisive role on the performance of the vehicle. However, the variation of future driving conditions deeply influences the effectiveness of the EMS.
Externí odkaz:
https://doaj.org/article/8619428df1ba448ea8552dc586f3897d
Publikováno v:
Energies, Vol 10, Iss 2, p 214 (2017)
Energy management strategies (EMSs) in hybrid electric vehicles (HEVs) are highly related to the fuel economy and emission performances. However, EMS constitutes a challenging problem due to the complex structure of a HEV and the unknown or partially
Externí odkaz:
https://doaj.org/article/e00cd962aa064d429bbfeb9a5e513063
Publikováno v:
ICIA
In order to get the conductivity of seawater in advance to give help to the research on communication technology in ocean, this paper adopts a wavelet neural network based method to establish a prediction model. The input variables of the prediction
Publikováno v:
Applied Sciences, Vol 8, Iss 2, p 187 (2018)
Applied Sciences; Volume 8; Issue 2; Pages: 187
Applied Sciences; Volume 8; Issue 2; Pages: 187
An energy management strategy (EMS) is important for hybrid electric vehicles (HEVs) since it plays a decisive role on the performance of the vehicle. However, the variation of future driving conditions deeply influences the effectiveness of the EMS.
Publikováno v:
Energies; Volume 10; Issue 2; Pages: 214
Energies, Vol 10, Iss 2, p 214 (2017)
Energies, Vol 10, Iss 2, p 214 (2017)
Energy management strategies (EMSs) in hybrid electric vehicles (HEVs) are highly related to the fuel economy and emission performances. However, EMS constitutes a challenging problem due to the complex structure of a HEV and the unknown or partially
Publikováno v:
ICIA
Battery energy storage management for electric vehicles and hybrid electric vehicles is the most critical enabling technology. A battery system is a complex electrochemical phenomenon whose performance degrades with ageing and the existence of varyin
Publikováno v:
Algorithms, Vol 11, Iss 3, p 33 (2018)
Algorithms; Volume 11; Issue 3; Pages: 33
Algorithms; Volume 11; Issue 3; Pages: 33
Hybrid electric vehicles are a compromise between traditional vehicles and pure electric vehicles and can be part of the solution to the energy shortage problem. Energy management strategies (EMSs) are highly related to energy utilization in HEVs’
Publikováno v:
ROBIO
In this paper, the current roboticized technologies and intelligent technologies applied in electric vehicles have been discussed. Vehicle structure design and motion control such as anti-slid, four wheel steering methods are analyzed. Besides, the d