Adaptive state of charge algorithm for nickel metal hydride batteries including hysteresis phenomena

By M. Verbrugge, E. Tate. 2004

281 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d04e581a2103ec1d9507d6bbcd4df121858d8f82

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In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Adaptive Partial Differential Equation Observer for Battery State-of-Charge/State-of-Health Estimation Via an Electrochemical Model (2014, unknown): “[7] and adaptive parameter identification algorithms in Ref.”
State of charge estimation using an unscented filter for high power lithium ion cells (2010, methodology): “These include following the physical property of the cell, such as the internal resistance or the electrolyte density [3,4], measurement of the cell impedance [5–8], optical methods [9], eddy current methods [10], equivalent circuit analysis of the charge/ discharge and/or impedance curves [11–18,22”
Review of Energy Storage System Technologies in Microgrid Applications: Issues and Challenges (2018, unknown): “Lead-acid [87], lithium-ion [69], [88], [89], sodium-sulfur (NaS) [12], [32], [42], nickel-cadmium (NiCd) [90], nickelmetal hydride (NiMH) [91], and FBs [8], [69], [88] are examples of this storage system.”
A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation (2014, unknown): “Foron-line state of charge (SOC) estimation, battery models are usually fairly simple, as they are fused with an actual battery using a technique like an Extended Kalman Filter (EKF) [15–17], a fuzzy-logic system [18, 19], a least-squares regression model [20], or a sliding-mode observer model [21].”
Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring (2013, background): “[15], [16], [17], but this paper is among the ﬁrst ones to adaptively monitor the temperatures (especially the core temperature) of batteries and SOH from a thermal perspective.”