Experimental Study on Influence Factors of Emission and Energy Consumption for Plug-in Hybrid Electric Vehicle

Liu, Le; Wang, Lihui; Dai, Chunbei

doi:10.1007/978-981-13-3648-5_240

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…Therefore, the energy consumption test method that does not consider the change of external influence factors obviously cannot reflect the actual energy consumption during the use of the vehicle. [13][14][15] Since the external factors that affect the energy consumption of vehicles vary with the use conditions, and the use conditions of vehicles vary with individual users, they are random. Therefore, the parameters reflecting various external factors are random variables and often have statistical characteristics.…”

Section: Statistical Energy Consumption Conceptmentioning

confidence: 99%

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Research on innovative plug-in hybrid electric vehicle comprehensive energy consumption evaluation method based on statistic energy consumption

et al. 2021

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The plug-in hybrid electric vehicle not only has the advantages of low emissions from electric vehicles, but also takes advantage of the high specific energy and high specific power of petroleum fuels, which can significantly improve the emissions and fuel economy of traditional vehicles. Studying its comprehensive energy consumption evaluation method is an important part of analyzing the economics of plug-in hybrid electric vehicles. This paper first puts forward the concept of statistical energy consumption and then proposes an innovative calculation method of plug-in hybrid electric vehicle energy consumption based on statistical energy consumption by referring to and analyzing the energy consumption test regulations of the United States, the European Union, and China. Given the two use case assumptions of charge depleting mode priority and charge sustaining mode only, considering the fuel consumption and the energy consumption that converts electrical energy consumption to fuel consumption, the probability density function of travel mileage distribution and energy consumption is derived. Finally, the interpretation and analysis of statistical energy consumption evaluation results are carried out.

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Section: Statistical Energy Consumption Conceptmentioning

confidence: 99%

Section: Statistical Energy Consumption Conceptmentioning

confidence: 99%

Research on innovative plug-in hybrid electric vehicle comprehensive energy consumption evaluation method based on statistic energy consumption

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Unfortunately, for private mobility, electric vehicles (EV) are not yet a viable option for the average consumer for two reasons, their high cost and/or their low range (miles per charge) with respect to internal combustion vehicles [2]. Wide range and low cost are variables closely related to the capacity of the BB used in EV and alternatives are currently being sought; one of these alternatives, is the integration of power generating sources to maintain and even raise the state of charge (SoC) while the EV circulates [3], such as solar panels [4][5][6][7], hydrogen fuel cells (HC) [8][9][10][11][12][13], biofuel engines [14,15], hybrid motorization [16,17], electric generating dampers [18][19][20][21][22][23], wireless recharge [24,25], among others.…”

Section: Introductionmentioning

confidence: 99%

Harvesting in electric vehicles: combining multiple power tracking and fuel-cells

Parada-Salado

Gaona-Cárdenas

Licea

et al. 2020

IJECE

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Exploitation of green energy sources is essential to diminish the deterioration of our environment. The energy harvesting, represents an alternative to achieve greater range in electric and hybrid vehicles. An energy management strategy (EMS) must be optimized to obtain the best beneﬁts in such vehicles, which is not a trivial task. If harvesting or energy recovery devices are added, the EMS becomes a dual-purpose algorithm: minimizing fuel consumption and maximizing energy harvest through maximum power point tracking (MPPT) controllers. Known studies consider separate EMS, one for traction and another for regenerative braking, without considering harvest devices such as solar panels, regenerative suspension, thermal generators, among others. Furthermore, the electronic power converters used, are not designed to handle such unequal power levels. In this article, an electronic platform to include multiple energy harvesting devices in a fuel-cell hybrid electric vehicle, was presented together with a multiple MPPT-EMS. The EMS is easily implementable, and considers quasiconstant cell energy extraction and ﬁltering of current transients to the battery bank ensuring the longevity of the devices. A new mathematical model of the platform, a closed loop stability analysis, and numerical and Hardware-in-the-Loop (HIL) validations were presented. Some experimental validation results were also provided.

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Experimental Study on Influence Factors of Emission and Energy Consumption for Plug-in Hybrid Electric Vehicle

Cited by 2 publications

References 3 publications

Research on innovative plug-in hybrid electric vehicle comprehensive energy consumption evaluation method based on statistic energy consumption

Research on innovative plug-in hybrid electric vehicle comprehensive energy consumption evaluation method based on statistic energy consumption

Harvesting in electric vehicles: combining multiple power tracking and fuel-cells

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