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Journal ArticleDOI

Improved Nonlinear Model for Electrode Voltage–Current Relationship for More Consistent Online Battery System Identification

TLDR
In this paper, an improved nonlinear model for the electrode voltage-current relationship for online battery system identification is proposed, which employs a more accurate model of the battery electrode nonlinear steady-state voltage drop based on the Butler-Volmer (BV) equation.
Abstract
An improved nonlinear model for the electrode voltage-current relationship for online battery system identification is proposed. In contrast to the traditional linear-circuit model, the new approach employs a more accurate model of the battery electrode nonlinear steady-state voltage drop based on the Butler-Volmer (BV) equation. The new form uses an inverse hyperbolic sine approximation for the BV equation. Kalman-filter-based system identification is proposed for determining the model parameters based on the measured voltage and current. Both models have been implemented for lead-acid batteries and exercised using test data from a Corbin Sparrow electric vehicle. A comparison of predictions for the two models demonstrates the improvements that can be achieved using the new nonlinear model. The results include improved battery voltage predictions that provide the basis for more accurate state-of-function readings.

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Citations
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Journal ArticleDOI

Aqueous vs. nonaqueous Zn-ion batteries: consequences of the desolvation penalty at the interface

TL;DR: In this article, reversible intercalation of up to two Zn2+ ions in layered V3O7·H2O was investigated, and the results showed that the intercalated ions exhibited very high capacity and power (375 mA h g−1 at a 1C rate, and 275 m A h g −1 at an 8C rate) compared to a very low capacity and slow rate capabilities in a nonaqueous medium.
Journal ArticleDOI

Organic Cathode for Aqueous Zn-Ion Batteries: Taming a Unique Phase Evolution toward Stable Electrochemical Cycling

TL;DR: In this article, a novel organic host, tetrachloro-1,4-benzoquinone (also called: p-chloranil), which due to its inherently soft crystal structure can provide reversible and efficient Zn2+ storage.
Journal ArticleDOI

A comprehensive review of on-board State-of-Available-Power prediction techniques for lithium-ion batteries in electric vehicles

TL;DR: In this paper, an overview of available techniques for on-board State-of-Available-Power (SoAP) prediction of lithium-ion batteries (LIBs) in electric vehicles is provided.
Journal ArticleDOI

How Water Accelerates Bivalent Ion Diffusion at the Electrolyte/Electrode Interface.

TL;DR: A dynamic equilibrium between bulk electrode and electrolyte is eventually reached for H2 O transport during the charge/discharge cycles, with the water activity serving as the key parameter determining the direction of water movement and the cycling stability.
References
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Book ChapterDOI

Time Series Analysis

TL;DR: This paper provides a concise overview of time series analysis in the time and frequency domains with lots of references for further reading.
Journal ArticleDOI

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification

TL;DR: In this article, an extended Kalman filter (EKF) was used to estimate the battery state of charge, power fade, capacity fade, and instantaneous available power of a hybrid electric vehicle battery pack.
Journal ArticleDOI

Methods for state-of-charge determination and their applications

TL;DR: In this article, the authors introduce commonly used methods for state-of-charge (SOC) determination and establish a relationship between the advantages of different methods and the most common applications.
Journal ArticleDOI

A review of impedance measurements for determination of the state-of-charge or state-of-health of secondary batteries

TL;DR: A detailed review of the applicability of impedance measurement as a test of state-of-charge or state of health of battery cells has been performed in both scientific journals and technical conferences.
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The results include improved battery voltage predictions that provide the basis for more accurate state-of-function readings.