On April 10th, the 13th Energy Storage International Summit and Exhibition grandly opened. At this important moment of market "value transformation", as a world-leading provider of energy storage solutions, Sungrow Power Supply redefined battery management for the first time from the perspective of the power grid and at the system level. In collaboration with CGC (China General Certification Co., Ltd.) and Tsinghua University, it released the industry's first "BM²T Battery Management Technology White Paper", deeply integrating artificial intelligence, big data, and Internet of Things technologies, breaking down data silos, responding better to power grid dispatching, and reshaping new benchmarks for energy storage safety and efficiency.

Currently, energy storage management technology is rather crude, and 46% of energy storage safety accidents are caused by battery management issues. With the expansion of power station scale, traditional battery management solutions lack systematic consideration: at the data monitoring level, relying solely on basic parameters such as voltage, current, and temperature makes it difficult to predict thermal runaway, and excessively adding sensors increases the risk of short circuits; at the algorithm logic level, inaccurate estimation of various types of data leads to accelerated battery degradation; at the fault determination level, single-dimensional threshold determination results in frequent alarms and a high false alarm rate; at the system coordination level, the lack of unity among multiple subsystems forms data silos, and there is a lack of coordinated control among thermal management, PCS (Power Conversion System), and battery data.

Intelligentization breaks through data silos to maximize the value throughout the entire life cycle

A battery is not equal to an energy storage system. To understand, manage, and utilize batteries well, the industry needs more accurate, intelligent, and compatible system-level technologies. Guided by the energy dispatching requirements of the power grid, Sungrow Power Supply, with the help of an AI large model, achieves full-link technical breakthroughs through effectively perceivable battery signals, precisely knowable states, and controllable information linkage, helping the energy storage system to be safe, efficient, and long-lasting, and maximizing the value throughout the entire life cycle.

Perceivable: Effective signals make the state of the power station "transparent"

Sungrow Power Supply deeply analyzes the changing patterns of various signal parameters of the battery during the normal aging stage and the thermal runaway stage. Based on in-depth research on the "breathing effect" of the battery cells, it achieves multi-dimensional, high-precision, and low-latency sensing such as "expansion force" for the first time, providing earlier warnings of battery thermal runaway and more accurately perceiving the health status of the battery cells!

Knowable: Precise state breaks through the dilemma of algorithm errors

With the help of the AI intelligent computing large model for battery cells, Sungrow Power Supply enables the accuracy rate of thermal runaway warning to be ≥99% through intelligent SOS prediction, making the system safer! At the same time, the estimation accuracy of SOH (State of Health) and SOC (State of Charge) is increased by 2%-3% compared with the industry average, which can enable a 1GWh power station to gain an additional 7.3GWh in annual revenue! Moreover, it extends the battery life and makes the most of the storage capacity.

Controllable: System linkage, from passive response to stronger grid formation

Through more accurate perceivability and knowability, Sungrow Power Supply finally achieves stronger "controllability": it realizes the industry's first station-level SOC linkage balance, fully unleashing the potential of each battery cell and increasing the discharge capacity of the entire station by 5%; at the same time, by building a powerful and stable battery system, it realizes precise linkage between DC control and AC grid connection for the first time, with multi-level coordinated management. It can adjust the system state 1 hour in advance and respond to power grid dispatching at the microsecond level in synchronization, with the power source following the grid movement and stronger grid formation.

Currently, battery management technology is shifting from mainly focusing on battery state monitoring to active control management to meet the future needs of a higher proportion of renewable energy grid connection and the requirements of new power systems.

Sungrow Power Supply has always been committed to promoting value creation through technological innovation. This time, it grandly released the "BM²T Battery Management Technology White Paper". Relying on the deep integration of the "Three Electric" fields of power electronics, electrochemistry, and power grid support, it has taken another step forward and continues to lead the industry. In the future, Sungrow Power Supply will continue to cooperate with the industrial and academic circles, base itself on fundamental technological innovation, and jointly promote the global energy system towards a cleaner, more intelligent, and sustainable direction. (This article is from the official website of Seetao.com, www.seetao.com. No reprinting is allowed without permission. Otherwise, legal liability will be pursued. If reprinting, please indicate Seetao.com + the original text link.) Editor of the Strategic Column of Seetao.com / Yin Shiqian