Hybrid electric vehicles and their challenges: A review

Hannan, M. A.; Azidin, Farid Arafat; Mohamed, Azah

doi:10.1016/j.rser.2013.08.097

Cited by 611 publications

(234 citation statements)

References 99 publications

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“…[1][2][3][4][5][6][7][8][9][10] After each iteration of the model, the mean powertrain efficiency in traction is calculated as:…”

Section: Problem Definitionmentioning

confidence: 99%

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Techno-economic design of hybrid electric vehicles using multi objective optimization techniques

Dimitrova

Maréchal

2015

Energy

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Highlights:• Multi objective optimization is applied for optimal hybrid electric powertrain designs.• A holistic approach for optimal design and control strategies is presented on vehicle usages.• Hybrid electric vehicles can reach large range of efficiency -26% to 45%.• Hybrid electric vehicle can emit very low CO 2 emissions -30 g/km for D class vehicles. Abstract:The improvement of the efficiency of vehicle energy systems promotes an active search to find innovative solutions during the design process. Engineers can use computer-aided processes to find automatically the best design solutions. This kind of approach named "multi-objective optimization" is based on genetic algorithms. The idea is to obtain simultaneously a population of possible design solutions corresponding to the most efficient energy system definition for a vehicle. These solutions will be optimal from technical and economic point of view. In this article this kind of "genetic intelligence" is tested for the holistic design of the optimal vehicle powertrain solutions and their optimal operating strategies.The methodology is applied on D class hybrid electric vehicles, in order to define the powertrain configurations, to estimate the cost of the powertrain equipment and to show the environmental impact of the technical choices. The optimal designs and operating strategies are researched for different vehicle usages -normalized, urban and long way driving. Introduction:

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“…[1][2][3][4][5][6][7][8][9][10] After each iteration of the model, the mean powertrain efficiency in traction is calculated as:…”

Section: Problem Definitionmentioning

confidence: 99%

“…Various type models and algorithms derived from simulation and experiment are explained in details in [6]. Most of them are heuristic and based on iterations of designs and energy management strategies.…”

Section: Introductionmentioning

confidence: 99%

Techno-economic design of hybrid electric vehicles using multi objective optimization techniques

Dimitrova

Maréchal

2015

Energy

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“…The analysis is performed by a combined analytical and simulation approach. Various type models and algorithms derived from simulation and experiment are explained in details in [7]. Frequently they are based on quasi-static and or dynamic models of the vehicles.…”

Section: Introductionmentioning

confidence: 99%

Vehicle propulsion systems design methods

Dimitrova

2017

MATEC Web Conf.

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Abstract.To meet the targets of sustainable development and greenhouse emission reduction of the future vehicles fleet, the automotive industry needs to deploy cost-competitive and efficient advanced energy conversion systems for the future commercial personal vehicles. The efficiency improvement needs induce to search new structured methodologies allowing the integration of the efficiency/cost vision for different vehicle energy technologies, in the earlier design stage of the new vehicles and their propulsion systems. This article proposes a method to compare systematically different vehicles design options under different economic and environmental scenarios. The proposed methodology combines flowsheeting vehicles models, energy integration techniques, economic evaluation and life cycle assessment in a computational platform. The methodology is applied on electric vehicles and hybrid electric vehicles. This article presents the application of a systematic environomic optimization for vehicle energy systems. The efficiency, economic and environmental performances are assessed for different energy technology options and their integration in advanced vehicles powertrains. The performances indicators are compared and the trade-off are assessed to support decision making and to identify optimal energy systems configurations.

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“…At first, the demand basis may be formed by the taxi companies, the logistic companies and others changing their fleets due to the support of their states [4].…”

Section: Introductionmentioning

confidence: 99%

About the Territorial Potential of the Construction of Battery-Charging Stations for Autonomous Electric Motor Vehicles in the Regions

et al. 2016

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Abstract. The article describes the main current trends in the development of electric motor vehicles with "zero emission" as well as the battery-charging stations concerned. The study is based on a preliminary comparative analysis of the RF regions with respect to five indices (average per capita income, number of private cars in the region, air pollution level, provision of the region with power supply and the potential use of local renewable energy resources), and it gives some recommendations on the prospects of possible construction of batterycharging stations in the regions.

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Hybrid electric vehicles and their challenges: A review

Cited by 611 publications

References 99 publications

Techno-economic design of hybrid electric vehicles using multi objective optimization techniques

Techno-economic design of hybrid electric vehicles using multi objective optimization techniques

Vehicle propulsion systems design methods

About the Territorial Potential of the Construction of Battery-Charging Stations for Autonomous Electric Motor Vehicles in the Regions

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