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 |
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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. |
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ISSN: | 0883-9514 1087-6545 |
DOI: | 10.1080/08839514.2014.883906 |