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Critical analysis of aging models for lithium-ion second-life battery applications

Ganesh, Sai Vinayak
http://rave.ohiolink.edu/etdc/view?acc_num=osu1587643968721108

Abstract Details

2020, Master of Science, Ohio State University, Mechanical Engineering.
Li-ion batteries have been identified as a key player among energy storage systems with higher energy and power densities coupled with cost-effectiveness compared to erstwhile cell chemistries. As the usage of energy storage systems in electrified vehicles increases, so will the number of battery packs dismissed from the vehicular applications once they cannot satisfy energy and power requirements as specified by the OEMs. The disposal of these battery packs after their vehicular usage has been a major concern, but it is also noted that these battery packs still retain a large amount of energy and power capability, making it suitable for other applications that extend the operational lifetime of battery packs. Applications that prolong the usage of battery packs after vehicular applications are termed as ’second-life’ and currently, stationary energy storage is seen as the most prevalent choice of second-life application. Battery systems inherently degrade, much like any other physical system. Degradation may refer to the reduction in performance, durability, and reliability of a system. Information regarding the physical degradation of a battery pack throughout its operational lifetime gives insights into how long the battery can sustain a given operation. Model-based methods for understanding battery degradation have been extensively reported in the literature, having differences in prediction fidelity, model complexity and computational cost. In this thesis, a comparative analysis between two state of the art aging models is applied to several second-life applications. The considered models are classified as semi-empirical and empirical based on their theories for model development. The comparison considers calibration procedures, model structure, fidelity, and capability of extrapolating outside the calibration range. The availability of experimental data for calibration and validation of these two models also has a profound effect on their estimation performance. Multiple second-life power demand profiles, which are representative of stationary energy storage, have been investigated and applied on a suitably sized second-life system architecture corresponding to different SOC ranges, C-rate and temperature of operation. The profiles considered in this study intend to showcase the limitations of each aging model as well as provide insights into the applicability of each model for that application.
Giorgio Rizzoni (Advisor)
Yann Guezennec (Committee Member)
167 p.
Automotive Engineering; Mechanical Engineering
Lithium-ion batteries, Second-life batteries, aging models

Recommended Citations

Citations

  • Ganesh, S. V. (2020). Critical analysis of aging models for lithium-ion second-life battery applications [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587643968721108

    APA Style (7th edition)

  • Ganesh, Sai Vinayak. Critical analysis of aging models for lithium-ion second-life battery applications. 2020. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1587643968721108.

    MLA Style (8th edition)

  • Ganesh, Sai Vinayak. "Critical analysis of aging models for lithium-ion second-life battery applications." Master's thesis, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587643968721108

    Chicago Manual of Style (17th edition)

osu1587643968721108
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© 2020, some rights reserved.Creative Commons License Critical analysis of aging models for lithium-ion second-life battery applications by Sai Vinayak Ganesh is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.
Release 3.2.12