Algorithms for Battery Utilization in Electric Vehicles

We consider the problem of utilizing a pack of m batteries serving n current demands in electric vehicles. When serving a demand, the current allocation might be split among the batteries in the pack. A battery's life depends on the discharge current used for supplying the requests. Any deviati...

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Veröffentlicht in:Applied artificial intelligence 2014-03, Vol.28 (3), p.272-291
Hauptverfasser: Adany, Ron, Tamir, Tami
Format: Artikel
Sprache:eng
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Zusammenfassung:We consider the problem of utilizing a pack of m batteries serving n current demands in electric vehicles. When serving a demand, the current allocation might be split among the batteries in the pack. A battery's life depends on the discharge current used for supplying the requests. Any deviation from the optimal discharge-current is associated with a penalty. Thus, the problem is to serve an online sequence of current requests in a way that minimizes the total penalty associated with the service. We show that the offline problem, for which the sequence of current demands is known in advance, is strongly NP-hard and hard to approximate within an additive gap of Ω(m) from the optimum. For the online problem, we present a competitive algorithm associated with the redundant penalty at most m. Finally, we provide a lower bound of 1.5 for the multiplicative competitive ratio of any online algorithm.
ISSN:0883-9514
1087-6545
DOI:10.1080/08839514.2014.883906