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A Study on the Impact of Driving Quality on the Energy Consumption of Plug-in Hybrid Electric Vehicles (PHEV)

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DOI: 10.23977/jeeem.2024.070218 | Downloads: 5 | Views: 172

Author(s)

Luowei Zhang 1, Bin Li 1, Zhicheng Ma 1

Affiliation(s)

1 CATARC Automotive Test Center (Tianjin) Co., Ltd., CN, Tianjin, China

Corresponding Author

Luowei Zhang

ABSTRACT

Plug-in hybrid electric vehicles (PHEVs) represent a critical technology for reducing emissions and enhancing energy efficiency, making their energy consumption assessment of paramount importance. This study investigates the impact of varying driving qualities on the energy consumption of PHEVs under the World Light Vehicle Test Cycle (WLTC). The assessment of driving quality adheres to the SAE J2951[1] standard. Through energy consumption tests conducted on a PHEV in pure electric mode under different driving qualities, six metrics were employed: Energy Rate (ER), Distance Rate (DR), Energy Efficiency Rate (EER), Absolute Speed Change Rate (ASCR), Root Mean Square Speed Error (RMSSE), and Inertial Work Rate (IWR). The results indicate that these metrics significantly reflect the impact of driving quality on energy consumption, with aggressive driving leading to higher energy usage. Although all driving qualities meet the requirements of the current Chinese energy consumption testing standard GBT 19753[2], the observed energy consumption differences due to varying driving qualities highlight the inadequacies of the current testing methods in evaluating and controlling driving quality. This underscores the necessity for improving energy consumption testing methods to more accurately assess the actual energy performance of PHEVs and to provide consumers with more reliable energy consumption information.

KEYWORDS

Driving quality, PHEV, Energy consumption, WLTC, Chassis dynamometer

CITE THIS PAPER

Luowei Zhang, Bin Li, Zhicheng Ma, A Study on the Impact of Driving Quality on the Energy Consumption of Plug-in Hybrid Electric Vehicles (PHEV). Journal of Electrotechnology, Electrical Engineering and Management (2024) Vol. 7: 141-148. DOI: http://dx.doi.org/10.23977/jeeem.2024.070218.

REFERENCES

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