Supervisory power management control algorithms for hybrid electric vehicles: A survey
AA Malikopoulos - IEEE Transactions on intelligent …, 2014 - ieeexplore.ieee.org
The growing necessity for environmentally benign hybrid propulsion systems has led to the
development of advanced power management control algorithms to maximize fuel economy …
development of advanced power management control algorithms to maximize fuel economy …
Development of a driving cycle to evaluate the energy economy of electric vehicles in urban areas
J Brady, M O'Mahony - Applied energy, 2016 - Elsevier
Understanding real-world driving conditions in the form of driving cycles is instrumental in
the design of efficient powertrains and energy storage systems for electric vehicles. In …
the design of efficient powertrains and energy storage systems for electric vehicles. In …
Real driving emission calibration—Review of current validation methods against the background of future emission legislation
Reducing air pollution caused by emissions from road traffic, especially in urban areas, is an
important goal of legislators and the automotive industry. The introduction of so-called “Real …
important goal of legislators and the automotive industry. The introduction of so-called “Real …
Develo** Singapore Driving Cycle for passenger cars to estimate fuel consumption and vehicular emissions
Singapore has pledged to attain 7–11% Business-As-Usual carbon emissions reduction by
2020. Road transport sector is a significant source of carbon emissions, estimated to be the …
2020. Road transport sector is a significant source of carbon emissions, estimated to be the …
An on-line predictive energy management strategy for plug-in hybrid electric vehicles to counter the uncertain prediction of the driving cycle
Predictive energy management could be implemented in real-time with a short period of
future driving cycle prediction. However, the completely precise prediction of the future …
future driving cycle prediction. However, the completely precise prediction of the future …
Generation of a driving cycle for battery electric vehicles: A case study of Bei**g
Driving cycle, which is widely adopted as a standard measurement procedure for evaluation
of fuel economy, emission and driving range, can facilitate vehicle design and performance …
of fuel economy, emission and driving range, can facilitate vehicle design and performance …
Ship energy management system development and experimental evaluation utilizing marine loading cycles based on machine learning techniques
In order to develop energy management systems for hybrid ship propulsion plants that are
truly optimal and robust, it is important that the test conditions in experimental facilities are as …
truly optimal and robust, it is important that the test conditions in experimental facilities are as …
Hybrid electric vehicle downshifting strategy based on stochastic dynamic programming during regenerative braking process
Regenerative braking is the most important way to save energy for hybrid electric vehicles
(HEVs) and electric vehicles (EVs). Wherein, for HEVs/EVs equipped with stepped automatic …
(HEVs) and electric vehicles (EVs). Wherein, for HEVs/EVs equipped with stepped automatic …
Real-world driving cycles and energy consumption informed by large-sized vehicle trajectory data
The inadequate representativeness of driving cycles used by regulatory lab tests is one
significant factor leading to the large discrepancy between real-world fuel consumption and …
significant factor leading to the large discrepancy between real-world fuel consumption and …
Research on Markov property analysis of driving cycles and its application
The Markov property of driving cycles was discussed by making a thorough description of
their essential characteristics. The Markov chain, a useful tool for designing and expressing …
their essential characteristics. The Markov chain, a useful tool for designing and expressing …