Equivalent circuit battery models can cooperate with electric vehicle models well at a system level, and can reduce largely complexity compared with electrochemical models. The equivalent circuit with more RC branches has a higher accuracy but also higher complexity. Traditional parameter estimation tools rely heavily on hardware and software. This research aims to come up with a lightweight parameter estimation algorithm however to guarantee the accuracy of the third-order equivalent circuit. It proves that the algorithm has a reliable result for the energy storage system simulation and SOC estimation. The mean residual error achieves to 0.06% or 1.98 mV, which can meet basically the engineering requirements.
Lightweight Parameter Estimation for the Third-Order Lithium-Ion Battery Model Based on Non-iterative Algorithm
01.06.2020
947133 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Europäisches Patentamt | 2023
|Parameter estimation of an electrochemistry-based lithium-ion battery model
Online Contents | 2015
|Model Based Vehicle Localization via an Iterative Parameter Estimation
Springer Verlag | 2020
|