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Online Battery State of Health Estimation Method using an H-Bridge and Bi-Directional Converter Circuit.

Hoogendijk Abril, Javier (2024) Online Battery State of Health Estimation Method using an H-Bridge and Bi-Directional Converter Circuit.

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Abstract:The growing use of battery-intensive technology has driven the requirement for accurate and efficient methods to determine the State of Health (SoH) of batteries. This paper describes a novel SoH estimation concept, using a Cascaded H-Bridge (CHB) which facilitates battery parameter estimations for different State of Charges (SoC). The concept consists of a Bi-Directional Converter circuit that delivers a Hybrid Power Pulse Characterisation (HPPC) signal to the battery. The CHB provides the converter circuit with a constant DC voltage from an AC power grid input voltage. Current and voltage sensors record the data, and a MATLAB data-fitting script is utilized to obtain the battery parameters. To verify that this SoH estimation concept works, a representative Equivalent Circuit Model, namely a Dual Polarisation Battery Model (DPM) is created in SimuLink MATLAB. Comparison of the DPM outcome parameters against the initial input parameters, estimated for different SoC settings, reveal relatively minor errors which indicate that this SoH estimation concept has merit. These errors are mainly related to limitations in the modelling set-up like sampling rate, simulation step size, data fitting algorithms. The DPM including a CHB still resulted in an unsatisfactory large error range which could not be resolved on time.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:50 technical science in general, 53 electrotechnology
Programme:Electrical Engineering BSc (56953)
Link to this item:https://purl.utwente.nl/essays/101957
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