Precise battery model+advanced AI algorithm enable the quantified and visible battery safety. By making real-time analysis and accurate prediction, it effectively detects potential safety risks to ensure zero battery ignition and safe travel.

Digital twin technology+machine learning algorithms dynamically track and analyze changes in the battery system, thus sensing latent anomalies three months in advance, completing repairs before faults occur, paying attention to user experience, achieving 100% fault detection rate and worry-free travel.

The battery life model+intelligent algorithm for parameter dynamic identification ensure life prediction error stays within ± 3%, thus avoiding abnormal battery aging and securing ultra long battery life and comfortable travel.