Top 10 Technological Trends of Chinese Automobiles in 2025

The "Top 10 Technology Trends of China's Automobile Industry in 2025" mainly focuses on the "Energy saving and New Energy Vehicle Technology Roadmap 3.0", "5 Technology Groups+26 Special Topics", and focuses on the "three types" of technology trends that achieve major breakthroughs, new mass production, and significant improvement in application scale.

Four rounds of investigation and research were conducted for 405 enterprise CTOs, experts, scholars, technical backbones, etc. from 113 units, and finally formed an annual technology trend research result that consolidates industry consensus.

Trend 1: The electricity consumption of new energy A-class passenger cars for 100 kilometers will be reduced to below 10kWh

Technology type: Achieving major breakthrough technology

Technical importance: Reducing the electricity consumption level of new energy vehicles is a key measure for the automotive industry to save energy and achieve the dual carbon goals ahead of schedule. The overall solution of collaborative hardware technology innovation and software management optimization can significantly improve the vehicle's range.

Technological development trend: By 2025, key technologies such as chip integration, multi in one electric drive system, and intelligent energy management strategy are expected to achieve technological breakthroughs, reducing the power consumption of new energy A-class passenger vehicles to below 10kWh per 100 kilometers.

Trend 2: In vehicle intelligent computing platforms reduce costs and improve quality to support the rapid development of intelligent driving technologies such as NOA

Technology type: Significant scale improvement technology

Technical Importance: The in vehicle intelligent computing platform provides core computing power support for intelligent driving and is an important indicator of the level of automotive intelligence.

Technological development trend: By 2025, in vehicle intelligent computing platforms will continue to optimize cost reduction and quality improvement strategies, promoting the widespread application of intelligent driving technologies such as NOA in various high, medium, and low-end vehicle models.

Trend 3: The integration of intelligent driving and intelligent chassis will significantly improve the motion control performance of vehicles above L3

Technology type: Achieving major breakthrough technology

Technical importance: the deep integration of intelligent driving and chassis is the key cornerstone to achieve a safer, more comfortable, more efficient and more energy-saving autonomous vehicle.

Technological development trend: By 2025, through the deep integration of intelligent driving and intelligent chassis, a major breakthrough in intelligent motion control technology for chassis under extreme working conditions will be achieved.

Trend 4: A safe and reliable vehicle wide operating system will usher in the first year of mass production

Technology Type: New Mass Production Technology

Technical importance: As a safe, efficient, and scalable foundation for vehicle software, the automotive global operating system is the driving force behind supporting global intelligent control and decision-making, and accelerating product innovation iteration.

Technological development trend: By 2025, automotive operating systems will evolve towards a safe and reliable vehicle wide architecture, and will usher in the first year of mass production.

Trend 5: AI empowered synthetic data will become an important data resource for autonomous driving research and development

Technology type: Significant scale improvement technology

Technical importance: Utilizing advanced artificial intelligence technologies such as generative AI and world models to generate high-quality synthetic data can effectively alleviate the problem of data shortage, improve the reliability of algorithm models, and is a highly promising development direction for autonomous driving model training.

Technological development trend: By 2025, AI generated synthetic data will be widely used for efficient training and simulation services of autonomous driving models.

Trend 6: Intelligent and efficient hybrid control strategies will continue to be optimized and increasingly popular

Technology type: Significant scale improvement technology

Technical Importance: Intelligent technology provides key technical support for further unleashing the energy-saving potential of hybrid power systems. Personalization and global optimization have become a new paradigm for the mass production application of hybrid energy management strategies.

Technological development trend: By 2025, more than half of car companies will mass produce and apply intelligent power control strategies on hybrid models.

Trend 7: EMB technology is becoming increasingly mature and is about to enter mass production applications

Technology Type: New Mass Production Technology

Technical Importance: EMB has advantages such as simple structure, fast response, precise control, and significantly improved safety performance. It is a key braking technology suitable for high-level autonomous driving and an important development direction for future vehicle braking systems.

Technological development trend: By 2025, with the gradual clarification and improvement of EMB related regulations and standards, EMB will achieve small-scale mass production and application.

Trend 8: Multimodal large models are expected to drive innovative breakthroughs in autonomous driving perception and decision-making capabilities

Technology type: Achieving major breakthrough technology

Technical importance: By utilizing the general knowledge ability of multimodal large models to enhance existing autonomous driving models, it can effectively address the long tail problem in intelligent perception and significantly improve the vehicle's understanding of elements such as scenes, obstacles, and navigation information.

Technological development trend: By 2025, autonomous driving models are expected to make significant breakthroughs in perception and control capabilities with the improvement of multimodal large model algorithms, enhanced data generation capabilities, increased computing power and training time.

Trend 9: Smart batteries will achieve significant breakthroughs in sensing devices and self-healing new materials

Technology type: Achieving major breakthrough technology

Technical importance: Intelligent batteries achieve known and controllable battery safety risks through advanced sensor implantation, self-healing, and active control of protective materials, which is an important means of improving the safety of power batteries.

Technological development trend: By 2025, smart batteries are expected to achieve technological breakthroughs in synchronous self sensing of internal potential, temperature, deformation, air pressure, and key components, self-regulation of internal air pressure, and self repair of short-circuit damage.

Trend 10: Autonomous driving operation safety risk management system will gradually be deployed and applied on vehicles

Technology Type: New Mass Production Technology

Technical importance: "Operational safety" has become the focus of high-level autonomous driving safety, promoting the construction of a safety guarantee system for the entire life cycle of autonomous driving.

Technical development trend: In 2025, the on-board operation safety risk management and control system will gradually be deployed and applied in the auto drive system to serve the safety supervision and implementation of automatic driving operation.