![]() Battery digital twins adapt to ongoing changes in battery health due to operating conditions and provide updated figures back to the BMS for continuously improving control decisions.Ĭarmakers can use the technology to provide driver insights, such as range and speed recommendations. NXP will showcase a demo of the solution at this year’s electronica in Munich.Īs batteries continue to be the costliest element in an electric vehicle (EV), AI-powered digital twin cloud services have a high potential to improve estimations of the battery’s state of health (SOH) and state of charge (SOC) for improved efficiency, lifetime and cost. ![]() By utilizing Electra Vehicles, Inc.’s EVE-Ai ™ 360 Adaptive Controls technology , NXP unleashes the power of digital twin models in the cloud to better predict and control the physical BMS in real time, to improve battery performance, battery state of health of up to 12% and enable multiple new applications, such as EV fleet management. NXP ® Semiconductors has developed a solution to connect its high-voltage battery management system (HVBMS) through its S32G GoldBox vehicle networking reference design to the cloud to leverage an artificial intelligence (AI) powered battery digital twin.
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