Research on the Application Status of Large Language Models in China's New Energy Vehicle Industry: Taking Huawei's NLP Large Model and XPENG 's XGPT as Examples
DOI:
https://doi.org/10.54097/6bhh1q69Keywords:
LLM (Large Language Model), New energy Vehicle Intelligent Driving Systems, Intelligent CockpitAbstract
In the era of rapid development of artificial intelligence, large language models are widely used in various industries due to their powerful natural language processing and text generation capabilities, including intelligent manufacturing, intelligent services, voice interaction, and even music box text creation. In this article, I will use literature review and case analysis methods, using the Huawei NLP large model and XPENG XGPT model as examples, mainly focusing on two aspects: intelligent driving and intelligent cockpit. Deeply explore the advantages of big language models in the new energy vehicle industry, the feasibility and necessity of their application, and their future prospects. In my research, I found that previous studies on this topic mainly focused on the technical principles of intelligent driving and intelligent cockpit, model optimization solutions, and market and user feedback. In intelligent driving systems, large language models can achieve timely and accurate takeover of driving, precise navigation, and efficient scene learning through scene simulation and generation techniques. In terms of intelligent cockpit, I believe that the main approach is to utilize natural language recognition and text processing capabilities to timely complete user instructions and engage in efficient language interaction. Helping enterprises create intelligent cockpit systems that are personalized and emotional processing for users.
References
[1] LI Xiaohua. Development Status and Prospect Trend of new energy vehicles in China [J]. People's Forum,2024
[2] Zhu Mingzhe. Research on competitiveness evaluation and promotion strategy of intelligent pure electric passenger car products of A Company. Beijing University of Technology.2023
[3] Zhang Qiaoqin, Xu Kaijie. Cars are "smarter" and travel is "smarter". Today's technology. 2024
[4] Gong Mengze. Why are new energy vehicles the preferred carrier of "intelligent driving"? Securities Daily. 2024
[5] FANG Hao, Wang Huihan. Research on user expectation in future intelligent driving scenarios. Meizhou Bay Vocational and Technical College.2024
[6] Xia Huan, ZHENG Liqiang, Zheng Chunping, Wu Longlong. Research on the development status and future trend of automotive intelligent cockpit. Geely Automobile Research Institute
[7] Canalys. Multi-screen intelligent cockpit will become the standard of China's new energy vehicles.2023
[8] Qin Jingyan, He Jiacong. Study on the scene interaction design of unmanned vehicle element space intelligent cockpit. University of Science and Technology Beijing 2023 (Ningbo) Co., LTD.2023
[9] Zhang Di, He Hao, Shi Wenjie. User Perception-oriented Intelligent Cockpit Development Model and Evaluation Method [J]. China Automobile,2024
[10] Li Peijun. Research on the innovative Development Path of New Energy Vehicles in the New Era [J]. Automotive Testing News,2024
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