142. STATE AND PARAMETER ESTIMATION IN LITHIUM-ION BATTERIES WITH MULTIPLE MATERIAL ELECTRODES

Department: Mechanical & Aerospace Engineering
Research Institute Affiliation: Center for Control Systems and Dynamics (CCSD)
Faculty Advisor(s): Miroslav Krstic

Primary Student
Name: Leobardo Camacho Solorio
Email: lcamacho@ucsd.edu
Phone: 858-534-5670
Grad Year: 2019

Abstract
The problem of state and parameter estimation was studied for a reduced electrochemical model of lithium-ion batteries with multiple active materials in their electrodes. Real-time electrochemical state and parameter information enables high fidelity monitoring of battery health and state of charge; this information is intended to be use in advance battery management systems for application such as consumer electronics, electrified vehicles and energy grid storage. Real-time estimation algorithms were developed for a single particle model with electrolyte dynamics and electrodes with multiple materials (MM-SPMe) extending previous results for models with single material electrodes (SMPe). Mixing active materials in a single electrode gives the possibility of blending performance characteristics, for example, it may be possible to design a single electrode that combines the high energy or high power features of two or more materials. This work is part of the ARPA-E project Advance Battery Management System in collaboration with the Robert Bosch LLC Research and Technology Center.

Industry Application Area(s)
Control Systems | Energy/Clean technology

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