Year: 2013
Type: article
Abstract: As electric vehicles continue to penetrate the automotive market, so too will an influx of used cells no longer suitable for vehicles but potentially prime for second use in grid storage applications.Since these cells may maintain a high percentage (70-80%) of the original capacity, they may also possess some economic value that could offset the current high cost of electric vehicles.This thesis studied the degradation of second use cells from automotive applications when continuing to be used on an anticipated electric grid cycle developed from existing economically ideal and real world.From this degradation, a simple economic analysis was performed.Though economic analysis has been performed previously, it was based on speculation of anticipated costs and degradation.This study however appears to be the first to estimate degradation rates from experimentation.The project began with the procurement of batteries which had reached automotive End of Life (EoL).Concurrently, aging profiles based on economically optimized models and actual regulation data from PJM were developed.These profiles were built so as to accurately simulate an anticipated year of use in a Community Energy Storage (CES) system.These profiles were then scaled to accelerate the aging process while maintaining total amp-hour throughput.In addition to this accelerated agingwhich was done at anticipated ambient conditions for Columbus, Ohio-characterization assessment was performed before, during, and after aging via resistance and capacity testing.In-situ resistance measurements were also made during aging testing via carefully inserted resistance pulses within the aging profiles.This degradation information was post processed and then aggregated together to assess the overall rate of battery degradation.The in-situ tracking of resistance growth showed that such measurements are viable alternatives to otherwise intrusive resistance measurement testing, as a high ) v
Author: Nicholas A. Warner
Institution: The Ohio State University
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2741560681