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	<title>energy-state estimation &#8211; BIOENGINEER.ORG</title>
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		<title>Digital Twin Model Tracks Electric Vehicle Energy Use Under Real-World Shifts</title>
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		<pubDate>Mon, 19 Oct 2026 08:57:43 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[battery energy]]></category>
		<category><![CDATA[conformal prediction]]></category>
		<category><![CDATA[digital twin]]></category>
		<category><![CDATA[distribution shift]]></category>
		<category><![CDATA[electric vehicles]]></category>
		<category><![CDATA[energy-state estimation]]></category>
		<category><![CDATA[mechatronic systems]]></category>
		<category><![CDATA[meta-domain generalization]]></category>
		<category><![CDATA[mixture-of-experts]]></category>
		<category><![CDATA[physics-guided machine learning]]></category>
		<category><![CDATA[state space model]]></category>
		<category><![CDATA[vehicle telemetry]]></category>
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					<description><![CDATA[A physics-guided digital-twin framework estimates electric vehicle battery energy minute by minute and is stress-tested across route, operating-regime, vehicle, and compound distribution shifts.]]></description>
		
		
		
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