Gotion Unveils Solid-State Batteries and AI at 2025 Tech Conference
Gotion showcases six new energy products including solid-state batteries, ultra-fast charging tech, and a 20MWh storage system at its 2025 event.
At its Global Technology Conference 2025, Gotion unveiled six cutting-edge energy products, highlighting advancements in solid-state batteries, ultra-fast charging, and large-scale energy storage. The event showcased innovations poised to reshape the electric vehicle (EV) and energy sectors.
Key Product Highlights
1. GEMSTONE All-Solid-State Battery
- Status: Entered pre-production with a 90% yield rate.
- Improvements: 60% higher sulfide electrolyte ion conductivity and 150% increased cell capacity.
- Safety: Passed rigorous tests, now undergoing road trials.
2. G-Yuan Quasi-Solid-State Battery
- Energy Density: 300Wh/kg, enabling EV ranges exceeding 1,000 km (~620 miles).
- Production: 12GWh line under construction after successful nail penetration tests.
3. G-Series Battery for Trucks
- Durability: Zero decay over 3,000 cycles, supporting 1.2 million km (~750,000 miles).
- Fast Charging: Megawatt-level capability and 12-year lifespan.
4. Grid Q 20MWh Storage System
- Innovation: World’s first 20MWh-per-unit system with hybrid cooling.
- Lifespan: 25-year design life, enhanced by AI-driven operations.
5. Astroinno Gen-2 LMFP Battery
- Performance: 10-minute charging, 240Wh/kg density, and 93% capacity retention at -20°C.
- Range: Up to 850 km (~530 miles) for BEVs and 1,500 km (~930 miles) for REEVs.
6. Axtrem AI Industrial Agent
- Role: Autonomous learning for optimizing production yield, cost, and efficiency.
- Goal: To integrate AI across Gotion’s smart manufacturing processes.
Industry Impact
Gotion’s advancements, particularly in solid-state batteries and AI, position the company as a leader in next-gen energy solutions. The products address critical challenges in EV adoption and grid-scale storage, offering higher efficiency, safety, and longevity.
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.