Work

Efficient Simulation and Reformulation of Lithium-Ion Battery Models for Enabling Electric Transportation

Year: 2014

Type: article

Abstract: Improving the efficiency and utilization of battery systems can increase the viability and cost-effectiveness of existing technologies for electric vehicles (EVs). Developing smarter battery management systems and advanced sensing technologies can circumvent problems arising due to capacity fade and safety concerns. This paper describes how efficient simulation techniques and improved algorithms can alleviate some of these problems to help electrify the transportation industry by improving the range of variables that are predictable and controllable in a battery in real-time within an electric vehicle. The use of battery models in a battery management system (BMS) is reviewed. The effect of different simulation techniques on computational cost and accuracy are also compared, and the validity of implementation in a microcontroller environment for model predictive control (MPC) is addressed. Using mathematical techniques to add more physics without losing efficiency is also discussed.

Source: Journal of The Electrochemical Society

DOI: 10.1149/2.018408jes

Authors: Paul W. C. Northrop, Bharatkumar Suthar, Venkatasailanathan Ramadesigan, Shriram Santhanagopalan, Richard D. Braatz, Venkat R. Subramanian

Institutions: Washington University in St. Louis, Indian Institute of Technology Bombay, National Laboratory of the Rockies, Massachusetts Institute of Technology

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $1,950