Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jeffrey B. Burl"'
Publikováno v:
IEEE Access, Vol 8, Pp 204770-204781 (2020)
The equivalent consumption minimization strategy (ECMS) is a well-known energy management strategy for Hybrid Electric Vehicles (HEV). ECMS is very computationally efficient since it yields an instantaneous optimal control. ECMS has been shown to min
Externí odkaz:
https://doaj.org/article/30337893eaae46e48778cdf3f55d75dc
Publikováno v:
IEEE Transactions on Control Systems Technology. 27:830-837
Based on the equivalent consumption minimization strategy (ECMS), a novel real-time energy management (EM) strategy for parallel hybrid electric vehicles (HEVs) is introduced. Given the full trajectory of the driver demanded power, the ECMS optimal e
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
IEEE Transactions on Control Systems Technology. 26:2198-2205
The strategy for energy management (EM) of a hybrid electric vehicle (HEV) has a considerable impact on the vehicle fuel economy. One well-known EM strategy is the equivalent consumption minimization strategy (ECMS) that is a form of Pontryagin’s m
Publikováno v:
IEEE Transactions on Vehicular Technology. 67:11234-11237
The energy management of plug-in hybrid electric vehicles (HEVs) is commonly divided into two modes: charge-depletion mode and charge-sustaining mode. This paper presents the optimal adaption law for any type of adaptive energy consumption minimizati
Publikováno v:
Applied Energy. 208:655-665
This paper introduces a new energy management (EM) strategy for series hybrid electric vehicles (HEVs). Series HEVs operate in charge-depletion mode and then switch to the charge-sustaining mode in which the battery state of charge (SOC) is maintaine
Publikováno v:
SAE Technical Paper Series.
Autor:
Jeffrey B. Burl, Amir Rezaei
Publikováno v:
IFAC-PapersOnLine. 48:252-256
One of the challenges in Model Predictive Control (MPC) for Hybrid Electric Vehicles (HEVs), is real time implementation, Bo-Ah et al. (2012). Computation time can be reduced by limiting the time horizon of the prediction. Limiting the time horizon r
Publikováno v:
SAE Technical Paper Series.
Autor:
Xiaoning Shan, Jeffrey B. Burl
Publikováno v:
Signal Processing. 91:1476-1488
A systematic framework is developed to address the parametric linear time-varying system identification problem, using the continuous wavelet transform (CWT). The system is modeled by a differential equation with unknown parameters and identified via