Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery

By Changfu Zou, Chris Manzie, Dragan Nesic, A. Kallapur. 2016

214 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/f1891d35b7d20e0d820e0e7b034f9b674d791c06

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Xiaosong Hu
2. David A. Howey
3. Lei Zhang
4. Changfu Zou
5. Weihan Li
6. Philipp Dechent
7. N. Sengupta
8. Anuradha M. Annaswamy

In Control and Systems Engineering

1. Xiaosong Hu
2. David A. Howey
3. Anuradha M. Annaswamy

Citations in the corpus

• Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus (2018, methodology): “proposed a combined SOC and SOH estimation method by using two extended Kalman filters with different time scales [22].”
• Online capacity estimation of lithium-ion batteries with deep long short-term memory networks (2021, background): “Models can be of several types, such as equivalent circuit models [3,10 – 16] or electrochemical models [17 – 24].”
• A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors (2018, unknown): “An explicit identification of multiple time scales from Li-ion battery dynamics was conducted in [15, 33].”