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The EV Digital Twin Dynamic Model is a virtual representation of an electric vehicle that mirrors its physical counterpart in real-time. This model integrates data from various sensors and IoT devices embedded in the EV, capturing parameters such as temperature, speed, battery status, and motor performance1
. The digital twin allows for continuous monitoring and optimization by simulating the vehicle's behavior under different conditions, including stress tests and performance scenarios1
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. Advanced algorithms, such as those used in AI-enhanced digital twins, enable predictive maintenance and improve the design and performance of EV components like motors and batteries2
. This comprehensive approach helps in identifying potential issues before they occur, enhancing the reliability, efficiency, and safety of electric vehicles
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IEEE/ICACT20250208 Slide.06
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