Energy Management Strategy of Hybrid Electric Vehicles and Driving Cycles

Dubray, Alexandra; Béguery, Patrick

doi:10.1016/s1474-6670(17)39564-2

Cited by 2 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the supplied speed information is usually with the horizontal axis of time. For ease of conducting the optimization, firstly, the driving cycle needs to be transferred from time domain to spatial domain [47]. Taking the new European driving cycle (NEDC) as an example, it is in time domain and only provides the speed value at the end of each second and the acceleration in each second.…”

Section: Analysis Of Co-optimization Problemmentioning

confidence: 99%

Cooperative optimization of velocity planning and energy management for connected plug-in hybrid electric vehicles

Liu

Huang

et al. 2021

Applied Mathematical Modelling

View full text Add to dashboard Cite

In this paper, a cooperative optimization strategy is proposed for velocity planning and energy management of intelligent connected plug-in hybrid electric vehicles. Based on the established vehicle model, a mathematical analytical method is investigated to convert the driving cycles from the original time based profiles to the driving distance based speed values. Then, the iterative dynamic programming is exploited to achieve the synergistic optimization in terms of speed planning and power allocation of the vehicle with the consideration of gear shifting limits and speed fluctuation. To meet the requirement of trip duration limitation which may be violated due to autonomous speed planning, the terminal driving time is constrained by adding a time adjustment factor to the cost function. The simulation results suggest that the proposed strategy attains the collaborative optimization with high efficiency in terms of speed planning and driving power distribution. In addition, the proposed strategy leads to significant reduction of the energy consumption cost under the constraints of allowed speed variation ranges.

show abstract

Section: Analysis Of Co-optimization Problemmentioning

confidence: 99%

Cooperative optimization of velocity planning and energy management for connected plug-in hybrid electric vehicles

Liu

Huang

et al. 2021

Applied Mathematical Modelling

View full text Add to dashboard Cite

show abstract

“…The growing use of transportation based on fossil fuels has forced scientists and policymakers to take measures that would reduce the negative environmental and climate impacts, the demand for oil production, and increased fuel prices [1][2][3]. At present, the consumption of the transport sector represents twothirds of the global consumption of petroleum, and passenger cars and light commercial transport represent half of that consumption.…”

Section: Introductionmentioning

confidence: 99%

A New Assessment Parameter to Determine the Efficiency of a Hybrid Vehicle

Mahmoud

Ghania

2022

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

This paper presents a new evaluation technique for determining the hybridization efficiency of a vehicle. First, the saving in fuel consumption is estimated in the ideal case considering the vehicle runs through a standard driving cycle and the engine runs at the lowest specific fuel consumption all the time. Subsequently, the hybridization efficiency can be defined as the ratio between the fuel savings in hybrid mode to the ideal savings according to the standard driving cycle. A case study was conducted with a medium-size passenger car according to the new European standard driving cycle. The results showed that the new proposed evaluation criterion is very effective for evaluating hybrid vehicles.

show abstract

Energy Management Strategy of Hybrid Electric Vehicles and Driving Cycles

Cited by 2 publications

References 1 publication

Cooperative optimization of velocity planning and energy management for connected plug-in hybrid electric vehicles

Cooperative optimization of velocity planning and energy management for connected plug-in hybrid electric vehicles

A New Assessment Parameter to Determine the Efficiency of a Hybrid Vehicle

Contact Info

Product

Resources

About