China Central Television (CCTV), China’s national broadcaster, recently featured Sunwoda Energy’s intelligent manufacturing base for AI data center energy storage in its Economic Half-Hour program, highlighting new opportunities for the energy storage industry amid the rapid growth of AI computing.
The program documented the complete production process, from battery cell manufacturing to battery pack delivery, and interviewed Yang Kongliang, Chief R&D Engineer of the Network Energy Product Line at Sunwoda Energy Technology Co., Ltd., to discuss how the accelerating development of AI data centers (AIDCs) is reshaping energy storage demand.
In the first half of 2026, the order value of Sunwoda’s AIDC energy storage business recorded strong growth. In response to rapidly increasing market demand, Sunwoda is drawing on its long-standing expertise in battery technology, energy storage systems and large-scale manufacturing to accelerate its development of energy solutions for the AI era.
The large-scale adoption of artificial intelligence is driving the rapid development of computing infrastructure worldwide.
As AI applications such as large-model training and inference continue to expand, data center construction is accelerating, alongside growing demand for stable and highly reliable energy solutions. As shown in the CCTV program, AI data centers place higher requirements on power supply systems.
In conventional electricity-use scenarios, brief power fluctuations may have a relatively limited impact. For AI data centers handling large volumes of computing tasks, however, a stable and continuous energy supply is fundamental to maintaining computing operations. Backup power solutions designed specifically for AIDC applications are therefore becoming an increasingly important part of computing infrastructure.
As AIDC power density increases, load fluctuations become more pronounced and project delivery timelines shorten, energy storage systems are evolving beyond the role of conventional backup power. They are increasingly becoming an important part of the energy infrastructure supporting the stable operation of computing facilities.
To meet the demand for high-power, highly reliable and efficient energy support in AIDC applications, Sunwoda has developed dedicated energy storage solutions for AI data centers.
The system adopts a highly integrated and modular all-in-one design. With a maximum output of up to 760 kW per cabinet, it can reduce the number of cabinets required, minimize space usage and lower total cost of ownership (TCO). The system also supports 5C pulse charging and 10C high-power discharging to help smooth load fluctuations.
For project delivery, the prefabricated design reduces on-site integration work, improves delivery efficiency and accelerates project deployment.
Looking ahead, Sunwoda has established a full-stack product portfolio centered on 6C and 10C high-rate lithium-ion battery systems and an 800 V high-voltage platform. By increasing power density, these solutions can help AIDC projects further reduce TCO. The company is also advancing an integrated “AIDC backup power plus energy storage” model to support the full-cycle power requirements of intelligent computing centers.
Behind the intelligent manufacturing scenes featured in the CCTV program is an R&D and manufacturing system built through decades of technical accumulation.
Drawing on 30 years of battery technology experience and 10 years of energy storage system expertise, Sunwoda has established end-to-end capabilities covering battery cells, PACK systems, battery management systems (BMS), integrated BMS and bidirectional DC/DC modules, system integration, testing and validation, and complete system delivery.
The company continues to translate its core technical capabilities into solutions for AIDC applications. From battery cell development and system integration to testing, validation and large-scale manufacturing, Sunwoda is continuously strengthening its product development and delivery system for AI data centers.
At the same time, the company is actively exploring the application of AI within its own R&D system. Through Sunwoda’s independently developed industrial AI simulation platform, AI is being applied across the product development and manufacturing process.
Sunwoda’s next-generation AIDC BMS also integrates electrochemical impedance spectroscopy (EIS) and AI agent capabilities to support early prediction of battery cell failure and more accurate estimation of state of charge (SOC) and state of health (SOH).
As the AIDC business continues to grow, large-scale delivery capability is becoming increasingly important to industry development.
Sunwoda is currently accelerating capacity expansion for AIDC battery cells, PACK systems and system integration. Two new production lines are scheduled to begin operation in the third quarter of 2026. At the same time, Sunwoda is advancing its manufacturing capacity plans outside mainland China to support global customer demand, with implementation expected to begin progressively in 2027.
Leveraging the Sunwoda Group’s vertically integrated industrial capabilities, the company will continue to strengthen its production system across battery cell manufacturing, PACK integration and system delivery. These efforts will further increase overall capacity and enhance Sunwoda’s ability to fulfil large-scale orders and support global project delivery.
As AI technology continues to advance, computing infrastructure is entering a new stage of development, and the connection between computing and energy is becoming increasingly close.
Liang Rui, Vice President and Chief Sustainability Officer of Sunwoda, said during the interview:
“Computing ultimately depends on power.”
AI computing clusters place higher requirements on energy supply, and highly reliable, high-power energy systems will become an important part of future digital infrastructure.
To meet the needs of AIDC applications, Sunwoda’s high-rate lithium-ion battery systems combine short-duration, high-power backup, load smoothing and rapid prefabricated deployment, providing energy support for computing facilities.
Yang Kongliang, Chief R&D Engineer at Sunwoda Energy, said:
“The development of AI is driving deeper integration between computing and energy. Highly reliable and efficient energy systems will become an essential part of future computing infrastructure. AI is the engine of our time, while energy storage serves as both its fuel tank and its shock absorber.”
Looking ahead, Sunwoda will continue to expand production capacity, strengthen product development and testing for high-power applications, and improve its end-to-end capabilities from battery cell manufacturing and system integration to project delivery.
Together with its partners, Sunwoda will continue contributing to the development of safe, efficient and sustainable digital energy infrastructure.
