4.6 Article

Optimal Charging of Li-Ion Batteries via a Single Particle Model with Electrolyte and Thermal Dynamics

Journal

JOURNAL OF THE ELECTROCHEMICAL SOCIETY
Volume 164, Issue 7, Pages A1679-A1687

Publisher

ELECTROCHEMICAL SOC INC
DOI: 10.1149/2.1301707jes

Keywords

-

Funding

  1. Directorate For Engineering [1408107] Funding Source: National Science Foundation
  2. Div Of Electrical, Commun & Cyber Sys [1408107] Funding Source: National Science Foundation

Ask authors/readers for more resources

This article seeks to derive insight on battery charging control using electrochemistry models. Directly using full order complex multi-partial differential equation (PDE) electrochemical battery models is difficult and sometimes impossible to implement. This article develops an approach for obtaining optimal charge control schemes, while ensuring safety through constraint satisfaction. An optimal charge control problem is mathematically formulated via a coupled reduced order electrochemical-thermal model which conserves key electrochemical and thermal state information. The Legendre-Gauss-Radau (LGR) pseudo-spectral method with adaptive multi-mesh-interval collocation is employed to solve the resulting nonlinear multi-state optimal control problem. Minimum time charge protocols are analyzed in detail subject to solid and electrolyte phase concentration constraints, as well as temperature constraints. The optimization scheme is examined using different input current bounds, and an insight on battery design for fast charging is provided. Experimental results are provided to compare the tradeoffs between an electrochemical-thermal model based optimal charge protocol, an electro-thermal-aging model based balanced charge protocol, and a traditional charge protocol. (C) 2017 The Electrochemical Society. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available