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Title: Using EV Battery Packs for Vehicle-to-Grid Applications: An Economic Analysis
Authors: Lav, Agarwal
Wang, Peng
Lalit, Goel
Keywords: Electric Vehicle (EV); Vehicle-to-Grid (V2G); Driving pattern; Battery wear; ancillary services
Issue Date: 2014
Source: Lav, A., Wang, P., & Lalit, G. (2014). Using EV battery packs for vehicle-to-grid applications: An economic analysis. 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), 663-668.
Conference: 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)
Abstract: Electrification of the transportation segment has long been seen as a promising solution to reduce oil dependency and its environmental impacts. Electric Vehicles (EVs) can also be used as distributed energy resources providing ancillary services to the grid through Vehicle-to-grid (V2G). Incentives through V2G can lead to reduced EV ownership cost, thus increasing their acceptance and overall penetration. However, with high current battery prices and increased battery wear due to more frequent charging and discharging during V2G operations, it becomes economically challenging in realizing a profitable business model. This paper presents an economic analysis of various V2G offerings in consideration of market prices and battery wear cost. Aggregate Power Capacity, from a fleet of EVs is realized by modeling their driving pattern using trip chaining based on data from survey conducted, employment pattern and vehicular statistics. Battery life cycle is analyzed, for achievable cycle counts and net energy transferrable, operating to various depths of discharge (DoD) values. Economic analysis is performed using Singapore data.
DOI: 10.1109/ISGT-Asia.2014.6873871
Schools: School of Electrical and Electronic Engineering 
Rights: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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