Hydrogen Hydrogen Ionization (Beijing) Hydrogen Energy Technology Co., Ltd. (hereinafter referred to as “Hydrogen Hydrogen Ionization”) is affiliated to Proton Automobile Technology Co., Ltd., a subsidiary of Shaanxi Automobile Group, and was established on September 2, 2022. It is a high-tech company dedicated to the development of core components such as fuel cell systems, fuel cell stacks, and membrane electrodes.

The company gathers the backbone of domestic fuel cells. The core team comes from experts in the fields of "fuel cell development, new energy passenger vehicle development, and new energy commercial vehicle development" with rich experience in the forward development of complete vehicles, systems, and core components. Relying on the development experience and technological advantages of shareholder Shaanxi Automobile in the field of commercial vehicles such as heavy-duty trucks, the company adheres to a forward development strategy and conducts in-depth industry university research cooperation with domestic universities to create vehicle fuel cell products with core competitiveness.

Our business focuses on the development of fuel cell systems and their core components, gradually exploring the core front-end of fuel cell systems, and improving the research and development system. The three major products are hydrogen fuel cell systems, stacks, and core components membrane electrodes.

At present, the company has completed the research and development of the first fuel cell system product on the L platform (product model E140M01). This product adopts a metal bipolar plate stack with integrated lightweight design and is equipped with self-developed intelligent control algorithms. The system has a rated power of 140kW, a power density of 682W/Kg, and a maximum efficiency of 61%. The key technical indicators of the system have reached the leading level in China. Product development is based on "topology development+intelligent control", which achieves the optimal balance between product performance and lifespan through mechanism research, simulation calculation, experimental verification, algorithm optimization, active diagnosis, intelligent processing, and other methods.