Browse Publications Technical Papers 2012-01-0348
2012-04-16

Repurposing Batteries of Plug-In Electric Vehicles to Support Renewable Energy Penetration in the Electric Grid 2012-01-0348

After they reach their technical on-board end-of-life, plug-in electric vehicles batteries can provide opportunities for second life applications. Plug-in-hybrid and battery-only electric vehicles could provide utility-scale battery storage that could support grid applications, like for example, integration of intermittent renewable energy. For renewables like wind and solar intermittency acts as a major barrier to achieve high penetration scenarios. This paper examines how Li-ion batteries of plug-in electric vehicles reaching approximately 70% of their initial charging capacity can be repurposed and be used to integrate wind power to minimize grid impacts. As the cost can restrict the use of utility-scale use of batteries, repurposed batteries could provide an economical approach to integrate wind energy. We present a model that predicts the capacity of available kWh given the market share projections of plug-in electric vehicles for Canada through 2050. In addition, battery storage requirement to produce uniform wind power is determined by applying high-resolution wind data. The simulation model shows that by 2050, generated wind power supported by repurposed batteries could meet the load demand imposed by plug-in electric vehicles. Therefore, repurposing aftermarket batteries has the potential to maximize the renewable energy ratio by displacing gasoline with new sources of intermittent renewable wind energy with minimal grid impact.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

Innovative Fluid Allowing a New and Efficient Battery Thermal Management

2019-01-2259

View Details

TECHNICAL PAPER

Utilizing Machine Learning Algorithms in a Data-Driven Approach to the Prediction of Vehicle Battery State of Charge with BMW i3 Datasets

2022-01-5088

View Details

COLLECTION

Advanced Battery Technologies, 2017

COLL-TP-00585

View Details

X