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ThinkMind // ADAPTIVE 2019, The Eleventh International Conference on Adaptive and Self-Adaptive Systems and Applications // View article adaptive_2019_5_20_58010


A Data Driven Approach for Efficient Re-utilization of Traction Batteries

Authors:
Christian Kreutzmann
Priyanka Sharma
Sebastian Lawrenz

Keywords: recycling; electric-vehicles; traction batteries; data driven; blockchain

Abstract:
As electric cars become more and more affordable to broader parts of our society the number of new registrations start to increase. Inevitably, an increased number of resources consuming cars bring new challenges to raw material supply and electrical power networks based renewable sources. Traction batteries are used in electric cars for power. An approach to solve both issues is second -life applications for used traction batteries. Second-life applications are a way of reusing traction batteries, which cannot be used in electric cars anymore due to challenging requirements. One way of using the traction batteries in their second-life is to use them for maintaining a fixed frequency on electrical networks even if peaking demand cannot be matched by a sufficient supply. As high availability in these power networks requires suitable storage. It lowers material consumption for otherwise newly produced battery systems and reduces costs for the second-life applications users. Nevertheless, the current state of recycling and identification of potential second-life batteries are highly cost intensive but can be improved by usage and combination of data. In this paper, we explore an approach for using data to increase efficiency and reduce the cost of second-life applications of traction batteries in electric cars. But in order to move to a data driven approach for re-utilization of traction batteries, there are various challenges in the existing system. We identify these challenges and propose solutions.

Pages: 63 to 68

Copyright: Copyright (c) IARIA, 2019

Publication date: May 5, 2019

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-706-1

Location: Venice, Italy

Dates: from May 5, 2019 to May 9, 2019

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