In this paper, an adaptive fault diagnosis technique is used for fault detection in Lithium ion batteries. The monitoring setup consists of multiple models representing the different degree of parameter shift due to over-discharge in the Lithium ion battery. A recursive least square estimator along with equivalent circuit methodology is used to construct the non-linear battery models. Extended ...

Lithium-ion battery performance is intrinsically linked to electrode microstructure. Quantitative measurement of key structural parameters of lithium-ion battery electrode microstructures will enable optimization as well as motivate systematic numerical studies for the improvement of battery performance. With the rapid development of 3-D imaging techniques, quantitative assessment of 3-D micros...

Title of Document: FAILURE MECHANICS OF FUNCTIONAL NANOSTRUCTURES IN ADVANCED TECHNOLOGIES Zheng Jia, Doctor of Philosophy, 2014 Directed By: Associate Professor Teng Li, Department of Mechanical Engineering The past decade has seen a surge of interest in developing novel functional nanostructures to enable advanced technologies, such as flexible electronics and high performance lithium-ion bat...

Accurate state of charge (SOC) estimation is of great significance for a lithium-ion battery to ensure its safe operation and to prevent it from over-charging or over-discharging. However, it is difficult to get an accurate value of SOC since it is an inner sate of a battery cell, which cannot be directly measured. This paper presents an Adaptive Cubature Kalman filter (ACKF)-based SOC estimati...

This paper studies a nonlinear predictive energy management strategy for a residential building with a rooftop photovoltaic (PV) system and second-life lithium-ion battery energy storage. A key novelty of this manuscript is closing the gap between building energy management formulations, advanced load forecasting techniques, and nonlinear battery/PV models. Additionally, we focus on the fundame...

Lithium-ion batteries are the primary power source in electric vehicles, and the prognosis of their remaining useful life is vital for ensuring the safety, stability, and long lifetime of electric vehicles. Accurately establishing a mechanism model of a vehicle lithium-ion battery involves a complex electrochemical process. Remaining useful life (RUL) prognostics based on data-driven methods ha...

This article provides the dataset of both the LiFePO4 type lithium-ion battery (LIB) behavior and the Maxwell ultracapacitor behavior. The dynamic stress test (DST) condition and the urban dynamometer driving schedule (UDDS) condition were carried out to analyze the battery/ultracapacitor features. The datasets were achieved at room temperature, in August, 2016. The shared data contributes to c...

The lithium-ion battery is a viable power source for hybrid electric vehicles (HEVs) and, more recently, electric vehicles (EVs). Its performance, especially in terms of state of charge (SOC), plays a significant role in the energy management of these vehicles. The extended Kalman filter (EKF) is widely used to estimate online SOC as an efficient estimation algorithm. However, conventional EKF ...