Recently, the 2025 (18th) International Automotive Technology Annual Conference, hosted by the China Machinery Industry Information Institute, was held in Shanghai. Focusing on the global frontier of intelligent electric vehicle technology, this annual conference brought together experts and enterprise representatives from industry, academia and research to jointly discuss industrial innovation trends. With outstanding achievements in the field of intelligent manufacturing, Seres Power’s intelligent production lines won the "Automotive Industry Benchmark Award for Intelligent Manufacturing" in the concurrent "Automotive Industry Rotary Award" selection.
As one of the authoritative awards in the automotive industry, the "Automotive Industry Rotary Award" aims to promote technological innovation and showcase cutting-edge achievements. Its evaluation process includes initial editorial review, industry research, online voting and multiple rounds of expert evaluation, ultimately determined by more than 20 senior experts from enterprises, universities, research institutions and core journals. Seres Power’s winning of this award marks that its technological advancement, application depth and practical effectiveness in the intelligent manufacturing system have been widely recognized by the upstream and downstream of the industrial chain.
Dual-Core Driving of Intelligent Manufacturing: Digitalization and AI Empower Efficient Production
At the "Powertrain Sub-forum" of the annual conference, Bai Hongjun, Director of the Digital and Intelligent Process Platform of Seres Power, delivered a speech titled Innovative Practice and Application of Intelligent Energy Powertrain Systems, systematically explaining the core path of the enterprise’s intelligent manufacturing. He stated that Seres Power’s new intelligent final assembly production line deeply integrates digitalization, simulation design, artificial intelligence and other technologies to build an efficient and intelligent production model, achieving three industry-leading "100" indicators (100% process automation rate, 100% assembly cold testing, 100JPH peak production capacity).
On the one hand, in the construction of digital intelligent factories, Digital Twin technology is adopted to shorten the production line construction cycle by 30%, improve commissioning efficiency by 25%, and reduce equipment downtime by 40%. On the other hand, in the in-depth application of AI and big data, AI machine vision is used in key processes to achieve 100% online quality inspection, creating multiple core scenarios of 5G + industrial internet. Relying on big data, full-chain collaboration and intelligent early warning are realized, ultimately achieving a 21.5% reduction in operating costs, a 35% increase in production efficiency, and a 30% decrease in product defect rate, realizing synchronous improvement of efficiency and quality.
System Innovation: Resolving Industry Transformation Pain Points through All-Dimensional Breakthroughs
In the process of advancing intelligent manufacturing, Seres Power takes quality, cost, technology, efficiency and intelligence as the core dimensions. By building an excellent organizational system, it has created a reliable, forward-looking technology-planned and AI-empowered intelligent manufacturing platform, accurately resolving the core pain points of the current industry such as accelerated product iteration and insufficient utilization of production line resources. Taking independently designed and developed production lines as the starting point for transformation, Seres Power has connected the entire life cycle of pre-research, development and mass-produced products end-to-end, achieving a leap in independent digital and intelligent management, and providing solid support for the upgrading of intelligent manufacturing.
Currently, the new energy vehicle industry is moving from electrification competition to a new stage of deep integration of intelligence and digitalization. Seres Power continues to deepen technological innovation, promote the organic combination of AI, big data and manufacturing processes, shape new productive forces in China’s automotive industry through solid practice, provide a replicable and promotable sample for the high-quality development of the industry, and continue to lead the intelligent transformation of the global automotive industry.
