A convolutional neural network model for SOH estimation of Li-ion batteries with physical interpretability

Article Automation & Control Systems

Capacity-Fading Behavior Analysis for Early Detection of Unhealthy Li-Ion Batteries

Changyong Lee et al.

Summary: This article introduces an analysis method for capacity-fading behavior of Li-ion batteries, which can detect unhealthy batteries early and significantly reduce the number of reliability tests for unhealthy batteries in practice.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

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Article Chemistry, Physical

Finding a better fit for lithium ion batteries: A simple, novel, load dependent, modified equivalent circuit model and parameterization method

Xiao Hua et al.

Summary: This study introduces a novel parameter identification method and modified equivalent circuit model for lithium ion batteries, showing significant improvements in accuracy during drive cycle and constant current load validations for a large format lithium iron phosphate prismatic cell. The modified ECM considers switching RC network values for each phase, resulting in better accuracy especially at low state-of-charge for all lithium ion batteries. Training different characterization tests and experimental data across a complete State-of-Charge (SoC) and temperature range enables a smooth transition between identified parameters, leading to an improved model accuracy compared to conventional techniques.

JOURNAL OF POWER SOURCES (2021)

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Article Automation & Control Systems

A Novel Prognostics Approach Using Shifting Kernel Particle Filter of Li-Ion Batteries Under State Changes

Seokgoo Kim et al.

Summary: In this article, a novel prognostic method using the particle filter (PF) is proposed for detecting state changes in lithium-ion battery degradation. The method shows better performance in anomaly detection and adaptability to new degradation processes, leading to more accurate and reliable remaining useful life (RUL) predictions compared to the original PF algorithm.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

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Article Energy & Fuels

Effective and practical parameters of electrochemical Li-ion battery models for degradation diagnosis

Jungsoo Kim et al.

Summary: The paper proposes a practical method for identifying and selecting effective P2D model parameters that change significantly with battery aging using experiments with various profiles. The experimental data are fitted to the P2D model using a genetic algorithm, resulting in a mean error of 18.79 mV, indicating high accuracy. Certain parameters such as cathode particle surface area, stoichiometry limits, and porosities that shift with aging are identified as aging parameters.

JOURNAL OF ENERGY STORAGE (2021)

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Article Engineering, Mechanical

Image representation of vibration signals and its application in intelligent compound fault diagnosis in railway vehicle wheelset-axlebox assemblies

Yongliang Bai et al.

Summary: The novel spectral Markov transition field (SMTF) algorithm is proposed to represent the frequency spectrum characteristics of vibration signals in image form through the construction of the first-order Markov transition matrix of the frequency-domain signal. Experimental evaluation shows that the SMTF algorithm has superior classification results and greater separability.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

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Article Automation & Control Systems

Novel Fitting Algorithm for Parametrization of Equivalent Circuit Model of Li-Ion Battery From Broadband Impedance Measurements

Jussi Sihvo et al.

Summary: The impedance of lithium-ion batteries offers crucial information for improving performance and safety of the batteries. Conventional fitting algorithms like CNLS may have high computational burden, but a novel fitting algorithm based on battery impedance's geometric shape in the complex-plane shows fast and accurate results with low computational effort. ECM parameters have been found to be dependent on the battery SOC at different temperatures.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)

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Article Engineering, Electrical & Electronic

A Novel Consistency Evaluation Method for Series-Connected Battery Systems Based on Real-World Operation Data

Qiushi Wang et al.

Summary: This article presents a cell inconsistency evaluation model for series-connected battery systems based on real-world EV operation data, utilizing consistency indicators and a robust regression method to effectively assess the parameter inconsistency state of the battery system.

IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION (2021)

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Article Engineering, Mechanical