Mechanical and Aerospace Engineering

MAE Ph.D. EXIT SEMINAR – By: Shijie Tong

Comprehensive Equivalent Circuit Based Modeling and Model Based SoC and SoH Estimation of Aged Lithium ion Batteries  
By: Shijie Tong Advisor: Professor Jae Wan Park 

Energy storage is one of society’s grand challenges for the 21st century. Lithium ion batteries (LIBs)
are widely used in mobile devices, transportations, and stationary energy storages due to lowering cost combined
with excellent cycle and calendar life. An intelligent approach to provide a better management is in demand to
improve cycle life, assure safety, and optimize the performance. In this wok, we propose a model based
battery state of charge (SoC) and state of health (SoH) estimator for LIBs. The estimator incorporates an
extended Kalman filter for the estimation of state parameters, a recursive least square algorithm for the
parameter identification, and parameter varying approach based optimization algorithms for the parameter
function regressions. The developed estimator was applied to a 10kW smart grid energy storage application
using retired electric vehicle batteries. The estimator exhibits a high numerical efficiency as well as an
excellent accuracy in estimating SoC and SoH. The estimator also provides a novel method to track the SoC,
SoH and open circuit voltage which is a crucial indicator for SoC estimation. Full Abstract

Date(s) - 08/21/2014
2:00 pm - 3:00 pm

2130 Bainer - MAE Conference Room


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