To improve the quality of new energy vehicle monitoring data, a systematic abnormal data identification and quality evaluation scheme is proposed. The scheme addresses various abnormal situations in the monitoring data and designs a comprehensive evaluation process from data collection to data analysis. This process covers key dimensions such as data standardization, completeness, accuracy, consistency, and timeliness. The weights of each dimension are calculated using a combination of the Analytic Hierarchy Process (AHP) and the entropy weight method. Through the fuzzy comprehensive evaluation method, the data quality score is quantified, avoiding the influence of single subjective or objective factors on the evaluation results. Empirical analysis shows that this scheme can comprehensively identify abnormal data types in new energy vehicle monitoring and provide reasonable quality evaluation results.

In order to better meet the intelligent needs of users for new energy vehicles, a sampling survey method is adopted to cover user samples from three different segmented markets: high, medium, and low. Based on user demand data for product intelligent functions, corresponding analysis is used to explore the feedback and preferences of users in different segmented markets for the use of product intelligent functions. The results indicate that there are significant differences in the demand for intelligent functions among users in different segmented markets, showing that as the market level increases, consumers’ dependence and frequency of use of in car intelligent functions also increase. In addition, the automotive market has shown a gradual progression from meeting basic material needs, enhancing emotional connections, to achieving personal spiritual pursuits from low-end to high-end. Based on the results of this research, direction can be provided for optimizing and improving product intelligence related functions. At the same time, intelligent function development and design can be carried out according to user needs and preferences, further enhancing the user’s driving experience.

In order to gain an in-depth understanding of the cockpit Augmented Reality Head-Up Display (AR-HUD) technologies and provide support for the future development of automotive intelligence, through literature research, technical analysis, case study and other methods, this paper systematically sorts out the domestic and foreign standards, regulations, technical characteristics and industrialization process of cockpit AR-HUD technologies. Moreover, the development status of HUD technologies is analyzed and the application prospect of AR-HUD technologies in intelligent cockpit is discussed in combination with industry development trends. The results show that AR-HUD technologies have undergone different stages of iterative updates and have been becoming an important development direction in the field of intelligent cockpits. In the future, with the continuous progress and optimization of autonomous driving technologies, it is expected that AR-HUD technologies will gradually become the mainstream trend of vehicle information display.

The intelligent thermal management of the whole vehicle is one of the key technologies of new energy vehicles. However, compared with fuel vehicles, the thermal management system of new energy vehicles is more complex and imposes stricter requirements on batteries, motors, and charging systems. To explore the current patent layout and research and development focus in the field of intelligent thermal management for new energy vehicles, this article systematically analyzes the patents of China’s new energy vehicle intelligent thermal management technologies. It sorts out key technologies in thermal management modules and thermal management architectures, and dissects the development direction of technical solutions. In the future, with the continuous evolution of technologies such as heat pump air conditioning, liquid cooling technology, and integrated thermal management, the thermal management system will have higher precision and efficiency.

In order to evaluate the results of fuel cell stack design and optimization, many studies have explored the key role of fuel cell stack test platforms in testing fuel cell performance. The results show that important information such as power density and lifetime of fuel cell stack can be obtained through the test platform, which can promote the development of fuel cell technology. Temperature is an important factor affecting performance test, therefore the basic composition and development progress of the test platform are described, and then the research status of the temperature management module of the test platform is introduced from 2 aspects of modeling and control. Finally, the future development direction of the test platform is prospected.

The rapid development of automotive intelligent technology has led to increased complexity of vehicle functions and a surge in the number of document developments, posing new challenges for the analysis of traditional vehicle electrical faults. In order to enhance the capability of electronic and electrical fault analysis and diagnosis, an intelligent diagnostic technology is utilized to construct an electrical data analysis model, which aids in the intelligent analysis and localization of faults in the automotive electrical system. The model construction is divided into two steps: firstly, the collection and preprocessing of electrical test data, including message parsing, data cleaning, and feature extraction; secondly, the use of deep learning algorithms to build a fault analysis model, achieving intelligent fault analysis and localization through model training. The proposed automotive electrical data analysis model based on intelligent diagnostic technology is capable of efficiently parsing complex electrical test data, realizing intelligent fault analysis and localization, and providing strong support for the troubleshooting of electronic and electrical faults.

In order to improve the safety performance of automobiles and provide effective data support for the evaluation of automobile safety performance, the relevant requirements of the national standard GB 39732—2020 “Vehicle Event Data Recording System” for the data recorded by EDR are deeply analyzed, and the compliance judgment of EDR data of different manufacturers and models under various working conditions is carried out. The results show that the data that must be recorded according to the standard GB 39732 for all vehicle models is generally complete, but there are still imperfect data records under special driving conditions. Finally, some suggestions are put forward for the data that should be included in the recording scope of new energy vehicles when accidents occur.

At present, the development of electrification of heavy-duty trucks has ushered in an important development opportunity. Building a green energy freight transport system based on electricity has become a consensus for the low-carbon transformation and development of freight transport in the transportation industry. Among them, the selection of typical freight scenarios and the matching of the performance of new energy trucks are crucial. Based on the overall cost analysis method, this article studies the economy of heavy-duty trucks under different technical routes such as traditional fuel, rechargeable pure electric, and exchangeable pure electric (self-owned or leased) in typical application scenarios in the Nangang Port area of Tianjin. This study finds that pure electric heavy-duty trucks in the Nangang Port area application scenario have cost advantages over traditional fuel heavy-duty trucks, with the exchangeable pure electric heavy-duty trucks having lower TCO costs.

The Chinese automobile market is undergoing a transition from being driven by quantity to pursuing high-quality development. With intense domestic market competition, Chinese automotive brands must actively explore international markets to achieve a transformation from big to strong. However, tapping into overseas markets entails facing multiple challenges such as geopolitical risks, trade barriers, and sociocultural differences. In response to the complexity and diversity of overseas automobile markets, based on China’s automobile export data, this study analyzes the characteristics of China’s automobile exports and the opportunities and challenges faced by China’s automobile exports through literature research, quantitative analysis, qualitative evaluation, expert surveys, and other methods. The research reveals that China’s automobile exports exhibit characteristics such as new energy vehicles gradually becoming the core driving force, diversification of export regions, and premiumization of export prices. Although there are opportunities for China’s automobile exports, a lot of challenges such as rising trade protectionism, intensifying overseas competition, and lagging electric vehicle infrastructure still exist. Addressing the challenges faced by automobiles going overseas, this study proposes localization strategies for overseas expansion, including localized research and development functions, localized manufacturing, localized marketing, and localized after-sales services.

In order to gain an in-depth understanding of the development trend of electric drive products for new energy passenger vehicles, this paper firstly introduces the characteristics of electric motors and motor controller products in the electric drive system of new energy passenger vehicles, covering the overall trend, technical routes, enterprise competition pattern, and product supporting features. Secondly, the development trend of the electric drive industry has been proposed, which will still be a highly competitive and low value-added industry. There are more new trends in electric motors and motor controllers, such as high-integration, high-reliability and high-pressure. Moreover, electric drive enterprises and products will make substantial progress when going overseas. Finally, relevant suggestions are put forward for the development of the electric drive industry, and it is recommended to strengthen the research on market strategies for cutting-edge technology layout and product supply.