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Portable electrochemical impedance spectroscopy measurement device for battery quality check

Chan, Jian Hong (2025) Portable electrochemical impedance spectroscopy measurement device for battery quality check. Final Year Project, UTAR.

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    Abstract

    This project presents a portable Electrochemical Impedance Spectroscopy (EIS) device for real-time lithium-ion battery (LIB) health assessment, addressing the accuracy, cost, and deployability limits of conventional methods such as Coulomb counting and opencircuit voltage analysis. The prototype integrates a miniaturized impedance front end with an embedded controller, delivering 19-point frequency sweeps and 1 kHz sampling while rendering live Nyquist plots on a touch display and logging results to microSD in CSV format. The system emphasizes practical field use: auto-scaled visualization, non-blocking timing for looped measurements, and a queue-based logger that maintains responsiveness under sustained writes. Repeatability tests show stable overlays for the same cell and clear separation between different cells, indicating reliable acquisition for downstream analytics. In parallel, the design establishes an AI-ready pipeline by structuring data for feature extraction and model development to refine State of Charge (SoC) and State of Health (SoH) estimation. Preliminary analysis supports the feasibility of on-device or near-edge inference using lightweight models to enable predictive maintenance, early degradation detection, and optimized charging strategies. By combining portability, real-time operation, and data-driven diagnostics, the proposed EIS platform offers a cost-effective path toward proactive battery management in electric vehicles, renewable energy storage, and consumer electronics.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: T Technology > T Technology (General)
    Divisions: Faculty of Information and Communication Technology > Bachelor of Information Technology (Honours) Computer Engineering
    Depositing User: ML Main Library
    Date Deposited: 28 Dec 2025 18:57
    Last Modified: 28 Dec 2025 18:57
    URI: http://eprints.utar.edu.my/id/eprint/6971

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