To optimize the performance of pure electric vehicles, ensure operational safety, and meet the intelligent development needs of new energy vehicles, this study combines electric vehicle performance evaluation indicators to determine key acquisition parameters such as battery voltage, current, State of Charge (SOC), motor speed, and temperature. By integrating vehicle CAN bus technology and GPRS wireless communication technology, a remote on-board information acquisition system with DSP2407 as the core processor is designed. This system can efficiently process and monitor the operational data of the vehicle's electronic control unit in real time. The acquired data can provide a quantitative basis for the assessment and evaluation of the electronic control unit, and offer precise data support for refining the overall vehicle control strategy. The integrated application of Internet of Vehicles technology and big data enables the system to have remote data transmission and analysis capabilities, filling the gaps in real-time performance and remote capabilities of traditional acquisition systems. This provides reliable hardware and data support for the technological upgrading of new energy smart vehicles.

To systematically analyze the key points and impact of EU automotive regulations, evaluate the corresponding technical challenges, and support Chinese enterprises in formulating effective compliance strategies, this study introduces the regulatory frameworks of the United States, Japan, and the European Union, with a primary focus on the EU regulatory system and its whole-vehicle type approval framework. It examines the evolution and impact of EU regulations across 4 key areas: emissions, connected and automated driving, environmental protection, and safety. The findings indicate that the ongoing upgrades to EU regulations will profoundly reshape the industry landscape. Firstly, the Euro 7 emission standards will accelerate the transition of commercial vehicle power train technologies toward high-efficiency, clean, and zero-emission solutions. Secondly, the increasingly dense framework of regulations for connected and automated driving, coupled with infrastructure upgrades, is redefining the approval and validation models for intelligent vehicles. Finally, the continuously rising environmental requirements regarding battery carbon footprints, battery passports, and recycling are establishing green barriers that span the entire product life cycle. In response to these changes, Chinese enterprises must address technological gaps, strengthen industrial chains, enhance standardized management, and strategically plan ahead to build and maintain long-term advantages in international competition.

With the upgrading of the demand for high-power charging technology in the new energy vehicle industry, liquid-cooled ultra-fast charging technology has become an important research direction in the field of charging infrastructure as a core solution to break through the bottleneck of traditional air-cooled heat dissipation. To advance the high-quality development of charging infrastructure for new energy vehicles and facilitate large-scale adoption in the charging market, the core components of liquid-cooled gun line, overcharge terminal cooling system, liquid-cooled charging module and host temperature control system are systematically analyzed based on the principle of heat exchange. Moreover, the advantages of this technology and the technical requirements of liquid-cooled overcharge are clarified. Combined with the application strategy of engineering practice, the problems and challenges faced by the current technology are revealed, and the solutions of the application are put forward, which provides theoretical reference and practical guidance for the large-scale application and technical iteration of liquid-cooled overcharge technology.

In order to systematize and standardize the control of automotive interior color, thereby minimizing redundant work and shortening development cycles, this paper investigates standard management protocols within the color control process. Based on the interior color development workflow, specific quantitative requirements are proposed for the fabrication of standard color samples and the quality assessment of color parts. These measures guarantee the visual harmony of interior colors and facilitate a competitive advantage for automotive enterprises.

By investigating 4 typical counties of Kunshan City, Yiwu City, Zhongmou County and Gaomi City in central and eastern China, combined quantitative and qualitative investigation to analyze the car purchase preference, car purchase budget, car use scenario and demand of new energy passenger vehicle users in rural areas of central and eastern China. It is found that new energy users in central and eastern rural areas take into account the needs of life, personal and work when buying cars, pay attention to driving range, economy of use and price, tend to obtain vehicle information from short video platforms, and car scenes take into account home and commercial use. It is suggested that government departments strengthen infrastructure construction, automobile manufacturers introduce more economical and practical models to meet the needs of users in rural areas, and strengthen market publicity to improve the acceptance of new energy passenger vehicles in rural areas.

To more accurately define and decompose charging time metrics while effectively improving charging efficiency, the paper focuses on the core scenario of BEV charging and conducts an in-depth investigation into the key influencing factors during DC fast charging from 10% to 80% State Of Charge (SOC) under ambient temperature conditions. From the perspective of strategy research, this paper systematically analyzes the impact of charging time generated by current compensation and battery over-temperature control factors. The results show that the charging time from 10% to 80% SOC at ambient temperature is reduced by 8.9 min, and the charging capacity within 20 min is increased by 15.4 A·h.

To shorten the charging time and optimize the charging strategy for new energy vehicles, the paper transforms the charging strategy optimization into a constrained path-finding problem using machine learning algorithms. The ant colony algorithm is employed to achieve rapid convergence, enabling the global co-optimization of the charging strategy and thermal management system capability. A segmented charging control strategy is proposed by comprehensively accounting for the effects of cell temperature rise and the vehicle thermal management system. Real-vehicle test results demonstrate that the optimized fast-charging time is reduced from 30 min to 27.5 min without battery overheating, verifying the effectiveness of the proposed strategy and providing a reference for advancing fast-charging technology in electric vehicles.

In response to the challenges of cost, lightweight design and safety posed to vehicle-side charging connection systems by high-power charging for electric vehicles, the paper proposes an on-board liquid-cooled high-voltage charging connection system scheme. It explores the development of vehicle-side liquid-cooled charging harnesses and components, reusing the vehicle's existing cooling system to dissipate heat. This approach enables the use of small-gauge conductors to achieve a continuous current-carrying capacity exceeding 800 A, meeting megawatt-level charging power demands. The proposed solution not only delivers ultra-high currentcarrying capacity but also fulfills the requirements for low cost and lightweight design in vehicle applications. Coupled with a coordinated charging-cooling control strategy, it significantly reduces electro-thermal safety risks in the vehicle-side charging connection system.

To investigate the differences and influencing factors between charging efficiency and battery heating efficiency under varying ambient temperatures, the paper proposes a testing methodology for evaluating charging efficiency and heating efficiency of Battery Electric Vehicle (BEV) under low-temperature conditions. Research is conducted on power battery charging efficiency and heating efficiency across different temperature operating conditions. The study quantitatively analyzes the attenuation patterns of charging efficiency and energy losses during the heating process, thereby providing a reference for optimizing the low temperature charging performance of BEV.

To mitigate the impact of centralized Electric Vehicle (EV) charging on the power grid, this study proposes an optimal EV scheduling strategy driven by dynamic electricity pricing, aiming to reduce users'comprehensive charging costs and achieve peak shaving and valley filling of the grid. First, a travel chain model based on naive Bayes is constructed to generate detailed information on future trips of users in the target area using historical travel data. Then, user trip information is combined with an established energy consumption model and a charging decision model to obtain the spatiotemporal distribution of regional charging load. Later, a dynamic electricity pricing model is established to describe the relationship between electricity prices and grid load. Subsequently, with the objective of minimizing charging costs and battery aging costs, a genetic algorithm is adopted to solve and update the EV charging and discharging strategies in real time throughout the day. Simulation results show that the travel chain data generated Its optimization strategy can effectively reduce user costs, achivev grid peak shaving and valley filling and provide a theoretical basis and control method for efficient coordination between electric vehicles and the power grid.