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<oembed><version>1.0</version><provider_name>BATTERIETAGUNG 2022</provider_name><provider_url>https://2022.battery-power.eu/en/</provider_url><title>A Toolchain for Evaluating SoX Algorithms on an Embedded System (using the foxBMS Plattform) - BATTERIETAGUNG 2022</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="UU3KXpvW85"&gt;&lt;a href="https://2022.battery-power.eu/en/poster2/1649/"&gt;A Toolchain for Evaluating SoX Algorithms on an Embedded System (using the foxBMS Plattform)&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://2022.battery-power.eu/en/poster2/1649/embed/#?secret=UU3KXpvW85" width="600" height="338" title="&#x201C;A Toolchain for Evaluating SoX Algorithms on an Embedded System (using the foxBMS Plattform)&#x201D; &#x2014; BATTERIETAGUNG 2022" data-secret="UU3KXpvW85" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>With the increasing amount of battery storage systems, the demand for monitoring the status of these systems is increasing to ensure safe and better usage of the batteries. Many algorithms can be found in the literature varying in their accuracy and complexity to determine the State of Charge (SoC) or the State of Health (SoH). [&hellip;]</description></oembed>
