The Influence of Testing Conditions on State of Health Estimations of Electric Vehicle Lithium-Ion Batteries Using an Incremental Capacity Analysis

Autor: Alejandro Gismero, Matthieu Dubarry, Jia Guo, Daniel-Ioan Stroe, Erik Schaltz

Publikováno v: Batteries, Vol 9, Iss 12, p 568 (2023)

The increasing growth of the second-hand electric vehicle market demands reliable methods for evaluating the state of health of deployed electric vehicle batteries. Among these methods, incremental capacity analysis is a commonly used technique for s

Externí odkaz: https://doaj.org/article/40747db01bb94916aa4b109bdbe0f6cc

An Enhanced Equivalent Circuit Model With Real-Time Parameter Identification for Battery State-of-Charge Estimation

Autor: Daniel-Ioan Stroe, Erik Schaltz, Farshid Naseri, Ebrahim Farjah, Alejandro Gismero

Publikováno v: Naseri, F, Schaltz, E, Stroe, D-I, Gismero, A & Farjah, E 2022, ' An Enhanced Equivalent Circuit Model with Real-Time Parameter Identification for Battery State-of-Charge Estimation ', I E E E Transactions on Industrial Electronics, vol. 69, no. 4, pp. 3743-3751 . https://doi.org/10.1109/TIE.2021.3071679

This article introduces an efficient modeling approach based on the Wiener structure to reinforce the capacity of classical equivalent circuit models (ECMs) in capturing the nonlinearities of lithium-ion (Li-ion) batteries. The proposed block-oriente

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99e98e4376361abbce11ce2c34160155
https://doi.org/10.1109/tie.2021.3071679

Calendar Degradation and Self-Discharge Occurring During Short- and Long-Term Storage of NMC Based Lithium-Ion Batteries

Autor: Daniel-Ioan Stroe, Václav Knap, Alejandro Gismero, Martin Molhanec

Publikováno v: ECS Transactions. 105:3-11

Idling periods are a major part of the Lithium-ion battery operation. Due to parasitic reactions, the battery capacity is decreasing and self-discharge occurs over time. Thus, in order to predict the battery lifetime and optimize its operation, it is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1879ddde4303d5443110e3a0f2e7b925
https://doi.org/10.1149/10501.0003ecst

Capacity State-of-Health Estimation of Electric Vehicle Batteries Using Machine Learning and Impedance Measurements

Autor: Daniel-Ioan Stroe, Alejandro Gismero, Erik Schaltz, Alberto Barragán-Moreno

Publikováno v: Barragan-Moreno, A, Schaltz, E, Gismero, A & Stroe, D-I 2022, ' Capacity State-of-Health Estimation of Electric Vehicle Batteries Using Machine Learning and Impedance Measurements ', Electronics, vol. 11, no. 9, 1414 . https://doi.org/10.3390/electronics11091414
Electronics; Volume 11; Issue 9; Pages: 1414

With the increasing adoption of electric vehicles (EVs) by the general public, a lot of research is being conducted in Li-ion battery-related topics, where state-of-health (SoH) estimation has a prominent role. Accurate knowledge of this parameter is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3ae5f57ea0edace12043536eb5ca263
https://vbn.aau.dk/da/publications/3707db58-14c3-4d7f-bba9-d241395e76e5

State-of-Charge Estimation of NMC-based Li-ion Battery Based on Continuous Transfer Function Model and Extended Kalman Filter

Autor: Farshid Naseri, Ebrahim Farjah, Sepehr Karimi, Daniel-Ion Stroe, Alejandro Gismero, Erik Schaltz

Publikováno v: Naseri, F, Schaltz, E, Stroe, D I, Gismero, A, Farjah, E & Karimi, S 2021, State-of-Charge Estimation of NMC-based Li-ion Battery Based on Continuous Transfer Function Model and Extended Kalman Filter . in 2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021 ., 9405847, IEEE Signal Processing Society, 2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021, 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021, Tabriz, Iran, Islamic Republic of, 02/02/2021 . https://doi.org/10.1109/PEDSTC52094.2021.9405847

Lithium-ion (Li) battery based on nickel-manganese-cobalt (NMC) cathode has emerged as one of the most successful battery types for powertrain of Electric Vehicles (EVs). The effective management of the NMC-based battery relies on accurate estimation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecbcd5836cfe3bf74987055babd01bac
https://doi.org/10.1109/pedstc52094.2021.9405847