Field programmable gate arrays implementation of a Kalman filter based state of charge observer of a lithium ion battery pack

Equivalent electrical circuits (ECM) have proven to be effective in modeling the dynamic behavior of proton exchange membrane (PEM) electrolyzer voltage response. They are a valuable tool for studying the interactions between power electronics and PEM electrolyzers during dynamic operating conditions. Generally, the ECM takes into consideration the activation over-voltage that is present at both the anode and the cathode for the dynamic part of the model. Therefore, the monitoring of the ECM activation over-voltage is an important issue for the correct modeling of the PEM electrolyzer voltage. However, voltage sensors for this over-voltage are expensive and the reported observers of the PEM electrolyzer activation overvoltage are scarce and have not been validated over a sufficiently long time. This work aims at overcoming these drawbacks by proposing the use of a Luenberger observer to accurately estimate the activation overvoltage using an ECM. Based on this proposal, it is possible to build a device capable of emulating the electrolyzer voltage efficiently. Furthermore, a stability analysis of the observable system is provided to ensure its performance throughout the experiment period. Statistical results, based on experimental voltage data from a PEM electrolyzer QL-300, demonstrate the high accuracy and performance of the Luenberger observer under continuous changes in input currents, which demonstrates its robustness.INDEX TERMS Electronic circuit model, Luenberger observer, PEM electrolyzer, Stability analysis, Voltage behavior.

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The application of sliding innovation filter as estimation strategy applied to a UAV

AlShabi,

Gadsden,

Khuwaileh

et al. 2024

Unmanned Systems Technology XXVI

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The unmanned aerial vehicle (UAV) and unmanned aerial system (UAS) are popular in nowadays applications including military, industry, weather casting, monitoring, and many other applications. According to several research, the system must be controlled in precise way to make sure that the UAV and UAS are moving in the desired trajectories. However, this task is not an easy task in real life due to the presence of disturbances and noise in feedback measurements. To overcome this issue, researchers either developed more stable controllers, i.e. active disturbance rejection control (ADRC), or they improved the measured signals using filters with more accurate/stable performance. This work belongs to the second category, where a newly developed filter, which is referred to as sliding innovation filter (SIF), is used to estimate the states of a UAV system while it is tracking a target at the same height to improve the quality of the controller.

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Field programmable gate arrays implementation of a Kalman filter based state of charge observer of a lithium ion battery pack

Cited by 5 publications

References 53 publications

State-of-charge estimation by extended sliding mode observer based on lithium-ion battery voltage dynamics

State-of-charge estimation by extended sliding mode observer based on lithium-ion battery voltage dynamics

Design and Implementation of the Luenberger Observer for Estimating the Voltage Response of a PEM Electrolyzer During Supply Current Variations

The application of sliding innovation filter as estimation strategy applied to a UAV

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