Janus: Privacy-Preserving Billing for Dynamic Charging of Electric Vehicles

Li, Hongyang; Dán, György; Borisov, Nikita; Nahrstedt, Klara; Gunter, Carl A.

Permalink

https://hdl.handle.net/2142/104027 Copy

Description

Title

Janus: Privacy-Preserving Billing for Dynamic Charging of Electric Vehicles

Author(s)

• Li, Hongyang
• Dán, György
• Borisov, Nikita
• Nahrstedt, Klara
• Gunter, Carl A.

Issue Date

2019-06-17

Keyword(s)

• electric vehicles
• dynamic charging
• privacy
• billing protocols

Abstract

Dynamic charging is an emerging technology that allows an electric vehicle (EV) to charge its battery while moving along the road. Dynamic charging charges the EV’s battery through magnetic induction between the receiving coils attached to the EV’s battery and the wireless charging pads embedded under the roadbed and operated by Pad Owners (POs). A key challenge in dynamic charging is billing, which must consider the fact that the charging service happens while the EV is moving on the road, and should allow for flexible usage plans. A promising candidate could be the subscription-based billing model, in which an EV subscribes to an electric utility that has a business relationship with various POs that operate charging sections. The POs report charging information to the utility of the EV, and at the end of each billing cycle, the EV receives a single bill for all its dynamic charging sessions from the utility. Overshadowing its advantages, a major shortcoming of such a solution is that the utility gets access to the EVs’ mobility information, invading thus the location privacy of the EVs. To enable subscription based billing for dynamic charging, in this paper we propose Janus, a privacy-preserving billing protocol for dynamic EV charging. Janus uses homomorphic commitment and blind signatures with attributes to construct a cryptographic proof on the charging fee of each individual dynamic charging session, and allows the utility to verify the correctness of the EV’s total bill without learning the time, the location, or the charging fee of each individual charging session of the EV. Our Pythonbased implementation shows that the real-time computational overhead of Janus is less than 0.6 seconds, which is well within the delay constraint of the subscription-based billing model, and makes Janus an appealing solution for future dynamic charging applications.

Publisher

University of Illinois at Urbana-Champaign

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/104027

Sponsor(s)/Grant Number(s)

Department of Energy/DE-OE0000780

Owning Collections