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.

Statistical Energy Analysis (SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses. This study proposes a new method that can provide customized optimization solutions to meet NVH targets based on the specific needs of different project teams during the initial project stages. This approach innovatively integrates dynamic optimization, Radial Basis Function(RBF), and Fuzzy Design Variables Genetic Algorithm(FDVGA) into the optimization process of Statistical Energy Analysis(SEA), and also takes vehicle sheet metal into account in the optimization of sound packages. In the implementation process, a correlation model is established through Python scripts to link material density with acoustic parameters, weight, and cost. By combining Optimus and VaOne software, an optimization design workflow is constructed and the optimization design process is successfully executed. Under various constraints related to acoustic performance, weight and cost, a globally optimal design is achieved. This technology has been effectively applied in the field of Battery Electric Vehicle(BEV).

With the widespread popularity of new energy vehicle models, electrical compressor operation noise is one of the main sources of electric vehicle noise. In order to analyze the mechanism of noise generation and clarify the noise characteristics and main transmission paths, this paper focuses on the study of order noise in electric compressor noise, and summarize the identification and optimization control methods of electric compressor noise based on the sources-path-response analysis model combined with engineering development examples. The research results indicate that: compared to traditional methods such as suppressing the compressor’s vibration force level and optimizing the vibration isolation capability of the transmission path, adopting a speed avoidance control strategy for the electric compressor to control the first-order booming noise is more cost-effective; optimizing and controlling the vibration isolation capability of the mounting brackets for the compressor and cooling fan are key to reducing the perceived amplitude of beat frequency noise inside the vehicle; based on the principle of auditory masking, the acceptance threshold for electromagnetic noise of the electric compressor can be increased by reasonably amplifying the noise of the cooling fan.

In order to study the impact of structural parameters of eddy current displacement sensor based on Printed Circuit Board (PCB) design on performance, this paper utilizes Ansys simulation software to establish a model of the eddy current displacement sensor. It analyzes the influence of various parameters, including coil excitation frequency and the gap between the coil and the measured target, on the system’s equivalent impedance and induced voltage. Based on the optimized model, a sensor prototype is constructed, and an experimental platform is established. An error analysis is conducted to compare the simulation results with the measured results. The experimental results show that the error of the optimized system reaches ±1.5% in the full range, thereby verifying the accuracy and feasibility of the model. This study provides a theoretical foundation for the development and application of the eddy current displacement sensors.

Nowadays, in order to expand the roof view to bring passengers closer to nature, more and more new energy vehicles are opting for canopy designs without sunshades. However, after removing traditional sunshades, new solutions must be sought to address issues such as heat insulation, glaring sunlight, and interior reflections from the roof glass during the summer months. This paper conducts an in-depth analysis of the technical advantages and shortcomings of sunshade-free canopy in terms of heat insulation and interior reflections during summer, from both theoretical analysis and experimental comparison perspectives, and proposes improvement strategies. The research results indicate that although the panoramic roof enhances the vehicle’s interior view and technological appeal, it still has shortcomings in terms of heat insulation and the problem of interior reflections caused by direct sunlight. The proposed improvement strategies can effectively mitigate these issues, and offers consumers more comfortable and intelligent driving experiences.

In order to analyze the output characteristics of the fuel cell system, this paper reviews the modeling of the stack level of Proton Exchange Membrane Fuel Cell (PEMFC) based on a large number of references, sorts out the research status of modeling of the proton exchange membrane fuel cell stack and the system level, summarizes the modeling methods and modeling purposes, and expounds the limitations and development trends of system modeling, which has reference significance for optimizing the control strategy and output performance of PEMFC system and accelerating the engineering application process of PEMFC.

Battery management system is conducive to maintaining excellent performances and safety of the vehicle power batteries, which is able to conduct functions of state estimation, energy equalization, thermal management and fault diagnosis. However, the traditional vehicle-end facility cannot meet the demands on hash rate and communication for advanced BMS. This paper proposes a cloud battery management system based on CHAIN (Cyber Hierarchy And Interactional Network), which can realize vehicle-cloud cooperation through End-Edge-Cloud-Intelligence mode and solve the problems of hash rate in distributed computation framework. It has the ability to provide different service delivery modes, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) and Data as a Service (DaaS). At last, several technical challenges and issues are concluded and an outlook on the multi-scenario applications of CHAIN is presented.

A single frequency point of 2.625 GHz exceeded the limit when the controller of parking auxiliary system carried out radiatied emission test of components, which did not meet the requirements of Electromagnetic Compatibility(EMC) Specs. By checking and analyzing the near and far field of the whole test link and Printed Circuit Board(PCB), it is found that the source of the noise is the Ethernet clock signal on PCB, and the clock and corresponding chip are not applied in this parking auxiliary system. The clock signal is radiated through the unintentional antenna formed by the broken line on the PCB board, resulting in the radiatied emission exceeding the limit. The reason why the radiation emission exceeded limits, and the process of discovering is described in detail, combined with theory and practice. By updating relevant software, turn off the clock driver, the problem of exceeding the limit of radiation emissied is solved at a low cost.