Finding the cost-optimal battery size in the context of parcel delivery with Electric Vehicles(EVs) requires solving a tradeoff between using the largest possible battery (so as to maximize the number of deliveries over a given time) and the relative costs (initial investment plus the unnecessary increase of the truck weight during delivery). In this paper, we propose a framework for the optimal battery sizing for parcel delivery with an electric truck; we implement an electric truck simulator including a nonlinear battery model to evaluate revenue, battery cost, charging cost, and overall profit for annual delivery. Our framework finds the cost-optimal battery size for different parcel weight distributions and customer location distributions. We analyze the effect of battery sizing on the profit, which is up to 56%.
Optimal battery sizing for electric truck delivery / Baek, Donkyu; Chen, Yukai; Chang, Naehyuck; Macii, Enrico; Poncino, Massimo. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 13:3(2020), pp. 1-15. [10.3390/en13030709]
Optimal battery sizing for electric truck delivery
Baek, Donkyu;Chen, Yukai;Macii, Enrico;Poncino, Massimo
2020
Abstract
Finding the cost-optimal battery size in the context of parcel delivery with Electric Vehicles(EVs) requires solving a tradeoff between using the largest possible battery (so as to maximize the number of deliveries over a given time) and the relative costs (initial investment plus the unnecessary increase of the truck weight during delivery). In this paper, we propose a framework for the optimal battery sizing for parcel delivery with an electric truck; we implement an electric truck simulator including a nonlinear battery model to evaluate revenue, battery cost, charging cost, and overall profit for annual delivery. Our framework finds the cost-optimal battery size for different parcel weight distributions and customer location distributions. We analyze the effect of battery sizing on the profit, which is up to 56%.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2790352