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To solve the electric vehicles battery management system(BMS) for lithium ion power battery state of health(SOH) assessment and prediction is difficult to meet a variety of working conditions, various types of power battery, and difficult to balance between accuracy and feedback speed applications such as defects, puts forward a new set of EVs battery health management system design idea, adopting the combination of cloud computing and storage platform, Integrate BMS evaluation system and other key methods; Add 5G communication module through BMS, use 5G/4G signal to upload cell data in real time, through a variety of SOH evaluation models and algorithms equipped with cloud platform, multi-thread online calculation to get the prediction results, timely feedback to the user and BMS, to achieve battery health management. The design case of this system shows good future application value and provides a new direction for EV battery management design. To solve the electric car existing BMS system for lithium ion power battery SOH assessment and prediction is difficult to meet a variety of working conditions, various types of power battery, and difficult to balance between accuracy and feedback speed applications such as defects, puts forward a new set of EVs battery health management system design idea, adopting the combination of cloud computing and storage platform, Integrate BMS evaluation system and other key methods; Add 5G communication module through BMS, use 5G/4G signal to upload cell data in real time, through a variety of SOH evaluation models and algorithms equipped with cloud platform, multi-thread online calculation to get the prediction results, timely feedback to the user and BMS, to achieve battery health management. The design case of this system shows good future application value and provides a new direction for EV battery management design.