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Authors: Michael Dreyfuss and Yahel Giat

Affiliation: Jerusalem College of Technology, Israel

ISBN: 978-989-758-218-9

Keyword(s): Battery Swapping, Electric Vehicle, Exchangeable Item Repair System, Window Fill Rate, Spare Allocation Problem.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Inventory Theory ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Methodologies and Technologies ; Operational Research ; Optimization ; Symbolic Systems

Abstract: Electric vehicle battery swapping stations are suggested as an alternative to vehicle owners recharging their batteries themselves. To maximize the network's performance spare batteries must be optimally allocated in these stations. In this paper, we consider the battery allocation problem where the criterion for optimality is the window fill rate, i.e., the probability that a customer that enters the swapping station will exit it within a certain time window. This time is set as the customer's tolerable wait in the swapping station. In our derivation of the window fill rate formulae, we differ from previous research in that we assume that the swapping time itself is not negligible. We numerically analyse the battery allocation problem for a hypothetical countrywide application in Israel and demonstrate the importance of estimating correctly customers' tolerable wait, the value of reducing battery swapping time and the unique features of the optimal battery allocation.

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Paper citation in several formats:
Dreyfuss M. and Giat Y. (2017). Optimizing Spare Battery Allocation in an Electric Vehicle Battery Swapping System.In Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-218-9, pages 38-46. DOI: 10.5220/0006115000380046

@conference{icores17,
author={Michael Dreyfuss and Yahel Giat},
title={Optimizing Spare Battery Allocation in an Electric Vehicle Battery Swapping System},
booktitle={Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2017},
pages={38-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006115000380046},
isbn={978-989-758-218-9},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Optimizing Spare Battery Allocation in an Electric Vehicle Battery Swapping System
SN - 978-989-758-218-9
AU - Dreyfuss M.
AU - Giat Y.
PY - 2017
SP - 38
EP - 46
DO - 10.5220/0006115000380046

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