The core tasks of traditional BMS are "protection"-overcharge protection, overdischarge protection, overtemperature protection and short circuit protection. Its working logic is to set the threshold and cut off the circuit when an exception occurs. However, in more and more complex application scenarios, this "post-event response" management method is exposing the exit limit.

A review paper published by IEEE points out that the existing BMS is experiencing technological upgrading in four key areas: multi-dimensional parameter measurement, multi-modal fusion modeling, active management and embedded AI deployment.. In short, BMS is moving from "passive protection" to "active management".

What is the practical significance of this transformation? Taking the energy storage scenario as an example, a system equipped with AI-BMS can monitor the status of each cell in real time and predict the health attenuation, increasing the available capacity by 8% and prolonging the battery life. AI algorithm can accurately capture 15-minute price difference opportunities by analyzing multi-source data such as photovoltaic prediction, dynamic electricity price and user load mode, thus maximizing the benefits of energy storage system..

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However, for PACK factories, the implementation of AI BMS is not simply "adding a line of code" to BMS ". It needs to add sensor dimensions at the hardware level, establish data models at the software level, and connect data links with EMS and cloud platforms at the system level.

Dongguan Juneng New Energy Technology Co., Ltd. adopts the idea of "one scenario and one strategy" in the development of BMS. The AGV Battery emphasizes the real-time communication and predictive maintenance with the scheduling system, energy storage battery and EMS are linked to participate in energy scheduling, while industrial UAV battery focuses on lightweight and high-rate communication. This scenario-based BMS design concept is highly consistent with the technical direction of AI BMS "data-driven, scenario adaptation. For equipment manufacturers, evaluate BMS capability of PACK factory you may as well ask a specific question: Can your BMS tell me the estimated health status of this battery after three months? Vendors who can give data models usually go further than just talking about protection functions.