Abstract:
This paper investigates Equivalent Circuit Model
(ECM) based Impedance Spectroscopy to assess the state of
Lithium-Ion Battery (LIB) Degradation. ECM parameter identi-
fication under different ageing mechanisms has been considered.
The proposed technique is investigated using reference Elec-
trochemical Impedance Spectroscopy (EIS) data obtained via a
simulated LIB electrochemical model in the Python PyBAMM
package. A Genetic Algorithm (GA) based optimization strategy
is used to identify the ECM parameters for different ageing
mechanisms with calendar ageing. The results show that the ECM
is capable of capturing the LIB dynamics over a wide frequency
range in addition to identifying the ECM parameter variations
for specific degradation mechanisms.
