A method for determining optimal electric range by considering electric vehicle lightweighting on perceived ownership cost

Ou, Shiqi; Zhang, Shengyong; Lin, Zhenhong; Davis, Stacy

doi:10.1016/j.jclepro.2022.135606

A method for determining optimal electric range by considering electric vehicle lightweighting on perceived ownership cost

Journal Article · Sat Dec 17 04:00:00 EST 2022 · Journal of Cleaner Production

DOI:https://doi.org/10.1016/j.jclepro.2022.135606· OSTI ID:1907239

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Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Purdue Univ. Northwest, Westville, IN (United States)
South China Univ. of Technology (SCUT), Guangzhou (China)

The limited driving range due to high costs and low energy densities of batteries constraints the battery electric vehicle (BEV) market growth. Lightweighting in theory can reduce energy consumption rate and extend the driving range. The knowledge gap is to quantitatively link the cost-effectiveness of light-weight technologies with range extension and consumer acceptance of BEVs. In this study, a physics-based energy consumption model of BEVs is constructed and associated with a statistics-based model on the basis of travel surveys. A perceived cost of ownership (PCO) is then developed by adding intangible costs to traditional total cost of ownership models. We estimate, at the disaggregate vehicle model and driver level and the aggregate market level, 1) the extended range due to lightweighting for a given battery size; and 2) the optimal electric range based on lightweighting decisions. The cost-effectiveness of lightweighting for BEV range extension is found to vary with income-dependent daily range limitation value, driving patterns and lightweighting technology costs. In general, adopting lightweighting in BEVs is more cost-effective for consumers with higher daily limitation value, as well as for those with higher driving intensity or suitable daily driving patterns. When the lightweighting involves a higher vehicle production cost, less lightweighting could reduce the overall PCO for BEV owners. 4 of the selected top ten BEV models are found to benefit from additional 2.09%–4.45% lightweighting. Finally, the method built in this study can guide automakers in planning R&D investments in battery and lightweighting technologies.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1907239

Journal Information:: Journal of Cleaner Production, Journal Name: Journal of Cleaner Production Vol. 385; ISSN 0959-6526

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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33 ADVANCED PROPULSION SYSTEMS
battery electric vehicle
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electric driving range
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light-weighting
perceived cost of vehicle ownership

A method for determining optimal electric range by considering electric vehicle lightweighting on perceived ownership cost

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References (23)

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