Cloud-connected battery management system for electric vehicles powered by AI

By Industry News

AI-driven battery management system digital twin cloud-based model can improve electric vehicle battery range, energy efficiency, safety and service life, and heralds the emergence of many new applications

NXP Semiconductors N.V. (Nasdaq: NXPI ) announced a newly developed solution to connect its high-voltage battery management system (HVBMS) to the cloud through the S32G GoldBox automotive network reference AI) driven battery digital twin model. NXP uses EVE-Ai™ 360-degree adaptive control technology from Electra Vehicles, Inc to stimulate the potential advantages of cloud-based digital twin models to achieve better real-time prediction and management of physical BMS, improve battery performance, and improve battery health (up to 12% ), and supports several new applications such as electric vehicle fleet management. NXP will demonstrate the solution at this year's electronica in Munich.

product importance

Batteries are still the most expensive component in electric vehicles (EVs), and AI-driven digital twin cloud services have huge potential benefits to improve battery state-of-health (SOH) and state-of-charge (SOC) estimation, thereby improving energy efficiency and extending battery life. Longer service life and lower costs. Changes in operating conditions may lead to continuous changes in the state of health of the battery. The battery digital twin model can adapt to this continuous change and feed back data updates to the BMS, thereby continuously improving control decisions.

Automakers can use the technology to provide driver analytics, such as remaining mileage or speed recommendations. In addition, adaptive battery control can improve battery performance and safely extend its life, reducing warranty costs for car manufacturers. Another potential application of the technology is electric vehicle fleet management, which can provide fleet operators with important usage analytics, such as vehicle charging times and battery predictive diagnostics. Furthermore, with this in-depth information, battery maintenance centers can achieve fast diagnosis and reduce downtime, and EV charging station operators can effectively optimize charging services and improve energy efficiency.
As the electric vehicle market continues to grow, the supply of reusable batteries will also expand. These batteries have reached the end of their life as car batteries, but have an astounding 80% remaining capacity. If the remaining battery life (RUL) in an energy storage system (ESS) can be used in the home, the homeowner's energy bills can be expected to decrease.