Parameter Identification of Li-ion Batteries: A Comparative Study

Lithium-ion batteries are crucial building stones in many applications. Therefore, modeling their behavior has become necessary numerous fields, including heavyweight ones such as electric vehicles and plug-in hybrid vehicles, well lightweight like sensors actuators. Generic models great demand for the current change over time real-time This paper proposes seven dynamic to simulate of lithium-ion discharging. was achieved using NASA room temperature random walk discharging datasets. The efficacy these fitting different time-domain responses tested through parameter identification with Marine Predator Algorithm (MPA). In addition, each model’s term’s impact analyzed understand its effect on fitted curve. proposed show an average absolute normalized error low 0.0057.