It meets the customized requirements of 40kW net power, and has the characteristics of low operating noise, high safety and protection, and fast filling speed. It is suitable for applications such as forklifts, terminal logistics vehicles, and light sanitation
It meets the customized needs of 80kW-100kW net power, and has the characteristics of zero emission, low noise, low transportation cost and high safety protection. It is suitable for applications such as sanitation platform vehicles, passenger vehicles, urban logistics vehicles, and buses.
It meets the customized needs of 110kW-200kW-level net power and has the characteristics of high energy efficiency conversion efficiency, high energy density, fast replenishment speed and stable operation, and is suitable for regional logistics vehicles, medium trucks, large buses, dump trucks, mixer trucks and other applications.
It meets the customized demand for net power above 200kW, and has the characteristics of full-process "no-grid" operation, low transportation cost, and high energy conversion efficiency. It is suitable for applications such as trunk logistics vehicles, heavy trucks, special heavy vehicles, and rail transit.
Innovate multivariable decoupling closed-loop control technology and stack lossless cold start strategy with NODS, complete efficient convergence closed-loop control based on real-time feedback, achieve rapid and accurate response of the system, meet the operational requirements of extreme environmental conditions such as high altitude, high temperature, and freezingcold, and more suitable for long-distance and heavy-duty application markets.
The automotive-grade engineering design has the performance advantages of ultra-high system power density, low hydrogen consumption, high efficiency, high adaptability, etc., supports the recycle and reuse of system waste heat, and the mass specific power density is >760W/kg, which meets the ultra-long endurance of 900km~1100km and solves the mileage anxiety of new energy vehicles.
AI control strategy is adopted to predict intelligent energy management control technology with advanced road spectrum big data, model predictive control (AI), deep learning (DL) and online upgrade (FOTA) technology to improve the overall power generation efficiency, reliability, stability and durability of the system