Multi-objective Optimal Trade-off Between V2G Activities and Battery Degradation in Electric Mobility-as-a-Service Systems

TL;DR

This paper develops optimization models for electric Mobility-as-a-Service systems that balance V2G activities and battery degradation costs to maximize profitability without reducing service levels.

Contribution

It introduces a mixed-integer linear programming model that explicitly incorporates battery degradation costs into fleet operation optimization.

Findings

V2G integration does not reduce the number of served requests.

Battery degradation costs can outweigh V2G revenue benefits.

Explicit modeling of battery wear impacts profitability.

Abstract

This paper presents optimization models for electric Mobility-as-a-Service systems, whereby electric vehicles not only provide on-demand mobility, but also perform charging and Vehicle-to-Grid (V2G) operations to enhance the fleet operator profitability. Specifically, we formulate the optimal fleet operation problem as a mixed-integer linear program, with the objective combining of operational costs and revenues generated from servicing requests and grid electricity sales. Our cost function explicitly captures battery price and degradation, reflecting their impact on the fleet total cost of ownership due to additional charging and discharging activities. Simulation results for Eindhoven, The Netherlands, show that integrating V2G activities does not compromise the number of travel requests being served. Moreover, we emphasize the significance of accounting for battery degradation, as the costs associated with it can potentially outweigh the revenues stemming from V2G operations.