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<oembed><version>1.0</version><provider_name>Bewertung EEHE 2026</provider_name><provider_url>https://bewertung.eehe.de/en/</provider_url><title>Model Predictive Control in Hybrid Thermal Management Systems for Improving Performance and Efficiency in Battery Electric Vehicles | Bewertung EEHE 2026</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="sl0lGsrtgu"&gt;&lt;a href="https://bewertung.eehe.de/en/vortraege2/1197/"&gt;Model Predictive Control in Hybrid Thermal Management Systems for Improving Performance and Efficiency in Battery Electric Vehicles&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://bewertung.eehe.de/en/vortraege2/1197/embed/#?secret=sl0lGsrtgu" width="600" height="338" title="&#x201C;Model Predictive Control in Hybrid Thermal Management Systems for Improving Performance and Efficiency in Battery Electric Vehicles&#x201D; &#x2014; Bewertung EEHE 2026" data-secret="sl0lGsrtgu" 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>In the pursuit of higher energy efficiency and improved overall system performance, Model Predictive Control (MPC) presents a promising approach for managing the complex dynamics of hybrid thermal management systems. This presentation explores the application of MPC in such systems, focusing on how it can significantly reduce actuator energy consumption while maintaining or even enhancing [&hellip;]</description></oembed>
