DeepSeek Emerges: How AI Models Lead the Automotive Industry towards Intelligent Development

     In today's era of rapid technological development, artificial intelligence (AI) is undoubtedly one of the most transformative and influential fields. Since OpenAI launched ChatGPT, there has been a global boom in AI development, with major tech companies increasing their investment in the AI field, striving to seize the opportunity in this technological revolution.

       As China celebrates the Chinese New Year with great joy in 2025, a dark horse suddenly emerged in the AI field - DeepSeek, which caused a huge wave worldwide without warning. Overnight, DeepSeek related topics quickly dominated the hot searches of major social media platforms, and its applications broke through and topped the download charts of Apple App Store in more than 140 countries around the world. In the United States, it even surpassed ChatGPT, which had long dominated the charts, becoming the top free app download chart. At the same time, in the US region of Google's Android Play Store, DeepSeek also made a strong debut, attracting 16 million downloads in 18 days, which is almost twice the download volume of ChatGPT when it was first released, and can be regarded as a phenomenal growth.

        DeepSeek (full name Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd.) was officially established on July 17, 2023 in Hangzhou. Backed by the quantitative asset management giant Fantasia Quantitative, DeepSeek has demonstrated strong technological strength and innovation capabilities since its inception.

        What truly made DeepSeek famous was the groundbreaking DeepSeek-R1 model, which was officially released on January 20, 2025. The model's performance in tasks such as mathematics, code, and natural language reasoning was comparable to the OpenAI o1 official version, and the training cost was only $5.6 million, far lower than the hundreds of millions or even billions of dollars invested by American tech giants. This breakthrough completely shocked the global tech community.

        While everyone is still amazed by the emergence of AI models, some companies have already deeply considered the significance of AI for the intelligent development of the industry and extended an olive branch for cooperation to DeepSeek. Zhang Xiang, Secretary General of the International Intelligent Transportation Technology Association, believes that "DeepSeek's advantages are lower training costs and open-source, making it more suitable for car companies to access. However, its application in the automotive field is still in its early stages It is reported that several well-known domestic car companies have announced strategic cooperation with artificial intelligence company DeepSeek to jointly create a new ecosystem of intelligent cars.

        In the application scenario of automotive intelligence, Deepseek's technology may empower multiple fields such as intelligent cockpit and human-computer interaction:

01

Collaborative Evolution of Autonomous Driving

        DeepSeek's inference model (such as R1) can optimize path planning and obstacle recognition through multimodal data processing, real-time analysis of sensor information such as vehicle cameras and LiDAR. For example, combined with its mathematical reasoning ability, the model can dynamically calculate the turning angle or emergency braking distance of a bend, improving decision accuracy. And through reinforcement learning frameworks, support models to explore complex driving scenarios in unsupervised environments, helping to gradually achieve autonomous driving without human intervention.

        In addition, through V2I (Vehicle to Infrastructure Communication), traffic lights, cameras, and Roadside Units (RSUs) push real-time information on road construction, pedestrian crossing, and other activities to vehicles. The cloud can also adjust signal timing, lane allocation, and even plan global routes (such as prioritizing emergency rescue vehicles) in real-time based on vehicle data throughout the city, enhancing collaborative perception of roads.

02

Energy Management and Range Optimization

        Upload vehicle data to the cloud through OBD (on-board diagnostic system), DeepSeek's mathematical reasoning ability can analyze battery charging and discharging data and predict life decay curves. For example, based on the user's driving habits (such as frequent rapid acceleration), the model recommends the best charging strategy to extend battery life.

        In hybrid vehicles, the model can automatically switch between gasoline and electric modes based on real-time road conditions (such as congested roads), and continuously optimize the energy consumption ratio through reinforcement learning. Experiments have shown that such strategies can increase the range by about 12%.

        By accessing DeepSeek's API services, car companies can build an intelligent charging scheduling platform. For example, automatically booking charging stations during low electricity price periods based on the user's itinerary to enhance the user experience.

03

Optimization and upgrade of vehicle experience

        The advantage of DeepSeek in Chinese scenarios (such as a score of 86.5 in C-Eval evaluation) enables it to deeply understand dialects and colloquial commands. For example, users can voice query "nearby charging stations suitable for family gatherings", and the model combines real-time weather, road conditions, and user preferences to recommend charging centers with children's facilities and generate navigation routes.

        Integrating DeepSeek's Janus Pro image model, the cockpit system can generate personalized interfaces in real-time. For example, real-time road conditions can be obtained through V2X, and navigation arrows and danger warnings (such as icy roads) can be projected on the windshield. These are the development directions for enhancing the in car experience of Deepseek in the future.

        In addition, the security and emergency response of the Internet of Vehicles, as well as scenario based intelligent services, are all considerations that Deepseek can lead the intelligent development of the industry.

        Although DeepSeek has shown great potential in the field of connected vehicles, it still faces some challenges. For example, the training and application of AI large models require a large amount of data, and how to ensure data security and user privacy is an important issue. In addition, the application of AI big models has also brought some challenges in terms of technical ethics and legal regulations, requiring relevant departments to formulate sound laws and regulations for standardization.

        However, we believe that with the joint efforts of all parties, DeepSeek will continue to overcome challenges and bring more surprises to the field of connected vehicles. With the continuous development of AI technology and the expansion of application scenarios, DeepSeek's AI models will play an increasingly important role in the automotive industry, leading the industry towards intelligent development and creating a better future for human travel.