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Erschienen in:

01.07.2022

Modelling of State of Charge Recognition: Use of a Bayesian Approach to Formulate Hidden State Perceptions and Emotions

verfasst von: Hideyoshi Yanagisawa, Masafumi Miyamoto, Satsuki Arima

Erschienen in: International Journal of Intelligent Transportation Systems Research | Ausgabe 3/2022

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Abstract

State of charge (SOC) management is necessary for electric vehicle (EV) driving safety and comfort. However, the SOC estimated by a human driver may differ from the actual SOC, inducing negative emotions and false charging behaviors. Currently, a model for explaining or estimating driver perceptions and emotions regarding SOC is lacking. Therefore, this paper proposes a Bayesian framework that explains and estimates human SOC perception and related emotions and experimentally verifies the model predictions. The results suggest that the deviations between actual SOC variations and driver expectations are necessary to determine the emotional experiences of drivers caused by managing SOC noise.

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Metadaten
Titel
Modelling of State of Charge Recognition: Use of a Bayesian Approach to Formulate Hidden State Perceptions and Emotions
verfasst von
Hideyoshi Yanagisawa
Masafumi Miyamoto
Satsuki Arima
Publikationsdatum
01.07.2022
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research / Ausgabe 3/2022
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-022-00313-5

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