Optimal Battery Sizing for Electric Truck Delivery

Donkyu Baek, Yukai Chen, Naehyuck Chang, Enrico Macii and Massimo Poncino
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Donkyu Baek: Politecnico di Torino, 10129 Torino, Italy
Yukai Chen: Politecnico di Torino, 10129 Torino, Italy
Naehyuck Chang: Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
Enrico Macii: Politecnico di Torino, 10129 Torino, Italy
Massimo Poncino: Politecnico di Torino, 10129 Torino, Italy

Energies, 2020, vol. 13, issue 3, 1-15

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%.

Keywords: electric truck delivery; cost-optimal battery sizing; framework; EV powertrain model; dynamic battery model; battery aging model; battery depreciation cost (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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