activity
20172020
most citedReal-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control

72 citations · 123 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2020★ 72 cited

Real-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control

Ning Tian, Huazhen Fang, Yebin Wang

The rapidly growing use of lithium-ion batteries across various industries highlights the pressing issue of optimal charging control, as charging plays a crucial role in the health…

eess.SY2020★ 1 cited

One-Shot Parameter Identification of the Thevenin's Model for Batteries: Methods and Validation

Ning Tian, Yebin Wang, Jian Chen +1

Parameter estimation is of foundational importance for various model-based battery management tasks, including charging control, state-of-charge estimation and aging assessment. Ho…

eess.SY2019★ 47 cited

Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation

Ning Tian, Huazhen Fang, Jian Chen +1

This paper proposes a new equivalent circuit model for rechargeable batteries by modifying a double-capacitor model proposed in [1]. It is known that the original model can address…

eess.SY2017★ 3 cited

Nonlinear Bayesian Estimation: From Kalman Filtering to a Broader Horizon

Huazhen Fang, Ning Tian, Yebin Wang +2

This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has been a challenge encountered in a wide range of eng…

physics.app-ph2017

Three-dimensional Temperature Field Reconstruction for A Lithium-Ion Battery Pack: A Distributed Kalman Filtering Approach

Ning Tian, Huazhen Fang, Yebin Wang

Despite the ever-increasing use across different sectors, the lithium-ion batteries (LiBs) have continually seen serious concerns over their thermal vulnerability. The LiB operatio…