A Holistic Approach to Lithium-Ion Battery Management System Design

ABSTRACT: In this talk, I will present the work on modeling, estimation and optimization for lithium-ion battery conducted at the Stanford Energy Control Laboratory at Stanford University.

I will first talk about electrochemical battery cell model identification using correlation and sensitivity analysis combined with additional virtual measurements, and then discuss an aging-electrochemical model that embeds an explicit capacity and power fade relation. The electrode-based interconnected adaptive observer framework is then introduced for state of charge and state of health estimation. A nonlinear observability analysis to quantify the measure of observability, i.e. the quality of estimated variables, shows that the new estimation architecture outperforms the traditional one for different current excitations and battery chemistry. In the second part of the talk, I will focus on battery pack optimization. Specifically, I will present a multi-objective optimization strategy developed to extend battery life while accounting for intrinsic heterogeneity in the parameters of the cells within the pack. I will conclude the talk by providing an overview of research efforts currently done in my group using data-driven methods for battery life prediction.

BIO: Dr. Simona Onori is an Assistant Professor in Energy Resources Engineering at Stanford University and Electrical Engineering (by courtesy). Upon joining the Stanford faculty, she funded and currently directs the Stanford Energy Control laboratory where she leads a team of graduate/undergraduate students, postdocs and international visiting scholars conducting research on experiments, modeling, control and optimization algorithms of energy storage and conversation systems for transportation and grid-storage applications.  She is the recipient of the 2020 U.S. DoE Clean Energy Education & Empowerment (C3E) Award, Category Research, the 2019 Board of Trustees Award for Excellence, Clemson University, the 2018 Global Innovation Contest Award by LG Chem, the 2018 SAE Ralph R. Teetor Educational Award and the 2017 NSF CAREER award.   She is Editor in Chief of the SAE International Journal of Electrified Vehicles, a distinguished lecturer for the IEEE Vehicular Technology Society (2020-2022) and IEEE Senior Member (2015). She is serving as a technical advisory of a number of battery start-ups and she consults for major companies on the topic of BMS.

She earned a Laurea Degree in Electrical and Computer Engineering from University of Rome “Tor Vergata”, an M.S. in Electrical Engineering from University of New Mexico, and a PhD. in Control Engineering from University of Rome “Tor Vergata”. Prior to joining Stanford University, she was a faculty at Clemson University International Center of Automotive Research and before that, a research scientist at the Ohio State University.

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