Service Operation Strategy Selection Based on the Vehicle–Battery Separation Model

The vehicle–battery separation (VBS) model, which encompasses battery leasing and swapping services (BLSs), can effectively address the adoption challenges of new energy vehicles (NEVs). To identify the optimal strategy for battery-swapping operators under this model, this paper develops four operational models: full in-house provision of both services (FS), in-house battery swapping only (OS), in-house battery leasing only (OL), and full outsourcing of both services (FO). A comparative analysis is then conducted to determine the optimal strategy. The results show that the operators’ optimal strategy is co-determined by consumers’ price sensitivity to the battery swapping and the cost of battery production. Specifically, under conditions of high consumer responsiveness to battery swapping price, the battery-swapping operator should adopt the FS strategy. As price sensitivity decreases, the optimal strategy becomes contingent on the battery production cost. Specifically, when battery production costs are low, the FO strategy is the most profitable option; otherwise, the FS strategy emerges as the optimal strategy. Furthermore, the numerical analysis shows that the optimal strategy for promoting the VBS model is either FS or FO, depending on consumers’ sensitivity to swapping price.

Authors

Institutions

Publication Details

Journal
Energies
Published
2026-09-09
DOI
https://doi.org/10.3390/en19184275
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Service Operation Strategy Selection Based on the Vehicle–Battery Separation Model

Kaifu Yuan, Chao Li
Energies
Electric Vehicles and Infrastructure
article

Service Operation Strategy Selection Based on the Vehicle–Battery Separation Model

Kaifu Yuan, Chao Li
article en

Abstract

The vehicle–battery separation (VBS) model, which encompasses battery leasing and swapping services (BLSs), can effectively address the adoption challenges of new energy vehicles (NEVs). To identify the optimal strategy for battery-swapping operators under this model, this paper develops four operational models: full in-house provision of both services (FS), in-house battery swapping only (OS), in-house battery leasing only (OL), and full outsourcing of both services (FO). A comparative analysis is then conducted to determine the optimal strategy. The results show that the operators’ optimal strategy is co-determined by consumers’ price sensitivity to the battery swapping and the cost of battery production. Specifically, under conditions of high consumer responsiveness to battery swapping price, the battery-swapping operator should adopt the FS strategy. As price sensitivity decreases, the optimal strategy becomes contingent on the battery production cost. Specifically, when battery production costs are low, the FO strategy is the most profitable option; otherwise, the FS strategy emerges as the optimal strategy. Furthermore, the numerical analysis shows that the optimal strategy for promoting the VBS model is either FS or FO, depending on consumers’ sensitivity to swapping price.

EnergiesVol. 19(18)
Guizhou University of Finance and Economics (CN), Neijiang Normal University (CN)
Affordable and clean energy
Openalex Percentile: Top 20%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Service Operation Strategy Selection Based on the Vehicle–Battery Separation Model — Kaifu Yuan, Chao Li · Energies (2026) | TGRS Research Map | TGRS