

Jinko ESS’s latest SunTera G5 series BESS features CTP architecture within a 20-foot container
The company says that it has achieved a maximum volumetric energy density of 200 kWh/m³ and an areal energy density of more than 570 kWh/m²
Its AIDC storage solution can address a variety of use case scenarios, such as frequent load fluctuations, load shifting, and long-storage duration
Jinko ESS, an energy storage subsidiary of JinkoSolar Co., Ltd., unveiled its latest 20-foot containerized battery energy storage system (BESS), artificial intelligence data center (AIDC) storage solutions, and AI-integrated energy management system (EMS) during SNEC 2026. These new systems or solutions are developed for scenario-specific applications, including utility, commercial & industrial (C&I), and AIDC.
For utility and large C&I applications, the company launched its 20-foot containerized SunTera platform-based BESS, the SunTera G5. Among the product’s few advancements, the storage company emphasizes higher volumetric and areal energy density compared to its predecessor, SunTera G3. Unlike conventional vertical or horizontal battery stacks, which feature multiple modular battery units with equal quantities of electrically interconnected cells, it adopts Cell-to-Pack (CTP) architecture. It places all the cells directly inside a single, larger battery pack, eliminating the space occupied by multiple units. In addition to flexible cell fixation, the system optimizes coordinated thermal management and structural design. Together, these upgradations push BESS’s volumetric energy density to 200 kWh/m³ and areal energy density to more than 570 kWh/m². It boasts up to 6.6 MWh of storage in a 20-foot container, compared to the previous model’s maximum of 6.25 MWh.
Apart from capacity building, this BESS offers a rated round-trip efficiency (RTE) of up to 96%, claimed by JinkoESS. In terms of the state-of-health (SOH) of batteries, this system guarantees up to 10,000 cycles (charging/discharging) while maintaining at least 70% SOH of the rated capacity at the end of a 25-year lifecycle. The company added that its EMS, which blends with AI algorithms, offers predictive battery health analysis, proactive fault warning, and enables operation & maintenance (O&M) optimization. Thus, the system is suitable for mission-critical application scenarios, such as AIDC, maximizing renewable energy harvesting, and energy-intensive industrial parks.
Jinko’s ESS products for a variety of AIDC application scenarios were also on display at the company’s booth at the show. While the company didn’t share a portfolio of specific AIDC ESS storage platforms, it provided a brief overview of use cases. According to the company, today’s GPU rack-based AIDC loads have higher energy density. Jinko’s AIDC ESSs address frequent load fluctuations with a second-level backup, load shifting, or peak shaving at minutes or hours-level for economical operation, and long-duration storage due to baseload characteristics of AIDC loads.