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• W2891085972 abstract "Accurate knowledge of the state-of-charge (SOC) parameter estimated for electric vehicle (EV) batteries is of particular importance when calculating the EV energy demand. Many factors and methods have been proposed for SOC estimation. However, often methods focus on the battery itself rather than customer usage and related factors. This paper proposes a EV energy demand estimation method based on SOC, where onboard power electronics and weather conditions are considered. A practical mathematical model is proposed for large-scale EV provision in which a correction factor is included for calculation of actual maximum range. Typical values from real EVs and statistics are used to exemplify the model in a case study. The results presented in the paper indicate that with inclusion of weather factors and use of onboard technology, electricity consumption is greater and consequently the actual range of an EV is shortened and the EV energy demand is quantitatively increased." @default.
• W2891085972 created "2018-09-27" @default.
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• W2891085972 date "2018-01-01" @default.
• W2891085972 modified "2023-09-27" @default.
• W2891085972 title "Large-Scale Electric Vehicle Energy Demand Considering Weather Conditions and Onboard Technology" @default.
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• W2891085972 doi "https://doi.org/10.1007/978-981-13-2381-2_8" @default.
• W2891085972 hasPublicationYear "2018" @default.
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