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Activity-Based Modeling for Integration of Energy Systems for House and Electric Vehicle Read chapter Read first chapter

2020 | OriginalPaper | Chapter

2. Probabilistic Model and Prediction of Vehicle Daily Use

Authors : Shinkichi Inagaki, Tatsuya Suzuki

Published in: Design and Analysis of Distributed Energy Management Systems

Publisher: Springer International Publishing

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Abstract

Electric vehicles (EVs) are expected to work, not only as transportation means, but also as power storage units in energy management systems (EMS) given their high capacity batteries. To utilize the in-vehicle battery in an EMS, considering the acceptance by the users, the EMS should be able to identify when the vehicle is being driven and when it is parked, which represents the profile of departure and travel time. This chapter presents a method to predict the most probable car use profile over 1 day, based on statistics of the customer’s daily car use. The prediction problem is formulated as a maximum-likelihood estimation problem and the usefulness of the proposed method is evaluated by numerical experiments.

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previous chapter Activity-Based Modeling for Integration of Energy Systems for House and Electric Vehicle
next chapter Design of a Home Energy Management System Integrated with an Electric Vehicle (V2H+ HPWH EMS)
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Metadata
Title
Probabilistic Model and Prediction of Vehicle Daily Use
Authors
Shinkichi Inagaki
Tatsuya Suzuki
Copyright Year
2020
Book
Design and Analysis of Distributed Energy Management Systems

Print ISBN: 978-3-030-33671-4

Electronic ISBN: 978-3-030-33672-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-33672-1_2