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Wladislaw Waag
Researcher at RWTH Aachen University
Publications - 20
Citations - 2849
Wladislaw Waag is an academic researcher from RWTH Aachen University. The author has contributed to research in topics: Battery (electricity) & Voltage. The author has an hindex of 15, co-authored 20 publications receiving 2301 citations.
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Journal ArticleDOI
Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
TL;DR: In this paper, the methods for monitoring the battery state of charge, capacity, impedance parameters, available power, state of health, and remaining useful life are reviewed with the focus on elaboration of their strengths and weaknesses for the use in on-line BMS applications.
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Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application
TL;DR: In this paper, a 40 Ah lithium-ion cell with nickel manganese cobalt oxide (NMC) cathode material was used to investigate the battery impedance and its dependence on the battery state-of-charge (SoC), temperature, current and previous history.
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Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles
TL;DR: An overview of available methods and algorithms for on-board capacity estimation of lithium-ion batteries can be found in this article, where the authors also provide an indicator for battery State-of-Health and Remaining Useful Lifetime estimation.
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Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination
Wladislaw Waag,Dirk Uwe Sauer +1 more
TL;DR: In this paper, an online fitting of an open circuit voltage relaxation model to the measured OCV relaxation curve is proposed to estimate the electromotive force (EMF) of the battery when a significant time has elapsed since the current interruption.
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On-line adaptive battery impedance parameter and state estimation considering physical principles in reduced order equivalent circuit battery models: Part 1. Requirements, critical review of methods and modeling
TL;DR: In this paper, a weighted recursive least quadratic squares (LRQS) parameter estimator is proposed to determine the battery impedance and diffusion parameters for accurate state estimation, which is proven on different battery chemistries with different aging conditions.