A systematic review of lumped-parameter equivalent circuit models for real-time estimation of lithium-ion battery states

By S. Nejad, D. Gladwin, D. Stone. 2016

519 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e6f721c331fdbee77084240144b7942fb24891d0

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In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

A Study on the Open Circuit Voltage and State of Charge Characterization of High Capacity Lithium-Ion Battery Under Different Temperature (2018, methodology): “The OCV-SOC modeling is one of the key factors for the OCV-based SOC estimation methods, such as the Shepherd model [7], Nernst model [25], Unnewehr universal model [7], combined model [7], exponential model [26], polynomial model [27], and ECMs model [28].”
A brief review on key technologies in the battery management system of electric vehicles (2018, methodology): “For model-based method, on the one hand, the battery capacity or internal resistance is taken as the time-varying parameters based on the battery equivalent circuit model [15] and electrochemical model [61].”
Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries (2019, background): “The n number of parallel RC branches can be added to the original model to analyse the more transient response [138].”
Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review (2019, background): “Also widespread are electrical models which use electrical-circuit analogs such as resistors and capacitors, to simulate the cell dynamics under different input currents [13].”
Advances in Batteries, Battery Modeling, Battery Management System, Battery Thermal Management, SOC, SOH, and Charge/Discharge Characteristics in EV Applications (2023, methodology): “The PNGV model consists of OCV, polarization resistance, a capacitor, an imaginary capacitor, and an ohmic resistance [33].”
Overview of Lithium-Ion battery modeling methods for state-of-charge estimation in electrical vehicles (2018, methodology): “Several publications have tried to explain the relationship bet een the nu bers of the R net orks and the accuracy of EC [44,45,71,72].”