Since lithium-ion power batteries are sensitive to environmental temperature, and the battery liquid thermal management technology has a good effect on temperature control, this paper aims to review the application of liquid thermal management technology in battery thermal management and its effect. Taking liquid cooling technology and liquid heating technology as the research starting point, by reviewing the current status of the application of these two technologies in the thermal management of lithium-ion power batteries, in-depth analysis of its effect on battery temperature control. The study shows that liquid cooling plate cooling is effective, but the system is complex, and needs to optimize the lightweight and safety design in the future; liquid cooling pipe cooling is lightweight, but the application is limited, and needs to be further explored; Submerged liquid cooling can significantly reduce the battery temperature and improve the uniformity, but it needs to solve the sealing and heat dissipation in dynamic driving; drop liquid cooling is highly accurate and lightweight, and is a hotspot of future research; liquid heating can quickly preheat the liquid heating can quickly warm up the battery pack, and the integrated design can improve the efficiency and reduce the cost.

By reviewing the cooling technologies of power batteries for new energy vehicles, including air cooling technology, liquid cooling technology, disguised material cooling, heat pipe cooling technology and refrigerant direct cooling cooling, the advantages, disadvantages and applications of various technologies are analyzed, and the research status of power battery cooling technology is summarized and its development trend is prospected. In the future, the cooling technology of power batteries for new energy vehicles needs to be developed to replace the existing liquid cooling system, and it is also necessary to combine two or more cooling methods and study more efficient, sensitive and intelligent early warning devices to obtain better cooling effects.

In order to deeply understand the current research situation of the mainstream active suspension system and its main control methods, this paper introduces 3 active suspension system including electric control hydraulic active suspension, electric control air suspension and electromagnetic active suspension, and analyzes 8 kinds of active suspension system control method containing PID control, state feedback H_∞ control, fuzzy control, neural network control, control of sliding mode control, adaptive control, robust control and prediction control. Compared with the advantages and disadvantages of different control methods, the paper suggests that the current active suspension and its control technology face challenges such as large energy consumption, low energy recovery, ideal simulation research conditions, the gap between the working conditions provided by the test equipment and the actual operating conditions of the actual active suspension, and the difficulty of multi-system fusion control. Finally, the future research direction and development trend of the control method of active suspension system are summarized.

Fatigue load spectrum processing is a key part of fatigue durability analysis. In terms of the acquisition of load spectrum, the advantages and disadvantages of the virtual pavement method and the load iterative method are reviewed and analyzed. In terms of load spectrum processing, 7 load spectrum processing methods, including the increased magnitude method, the peak-to-valley extraction method, the increased frequency method, and the time-domain correlation editing method, are reviewed. The analysis results show that the load spectrum features and information are extracted based on the time domain, frequency domain or a combination of the two, and the load spectrum is simplified based on the fatigue life damage theory, which can further speed up the fatigue analysis process and shorten the research time. In terms of fatigue analysis methods, the advantages and disadvantages of different fatigue analysis methods are analyzed, and the results show that the fatigue prediction results with higher accuracy can be obtained by selecting appropriate fatigue analysis methods at different stages of the fatigue analysis process, and the fatigue life of vehicle target parts can be obtained more efficiently. In terms of fatigue durability bench test verification, in view of the problem of slow iterative convergence in the iterative process of bench test, it is proposed that the transfer function can be learned by neural network in the future, in order to obtain better iterative effect, more accurate driving signal, and improve the efficiency of fatigue analysis.

With the rapid development of new energy vehicles, hybrid vehicles have attracted more and more attention and quickly occupy the market. In order to optimize the power architecture of hybrid electric vehicles, this paper analyzes the power architecture of series-connected hybrid electric vehicles and series-parallel hybrid electric vehicles, studies the energy transfer paths, working modes and control logic under various working conditions, and finds that there are problems such as low energy efficiency and complex architecture. Therefore, this paper optimally designs a hybrid architecture and its control logic by reducing the energy conversion path of the power architecture and taking advantage of the characteristics of planetary gear group power shunt, etc. The results show that it not only has higher energy efficiency but a simpler architecture than the series-parallel hybrid architecture, which reduce development costs.

In order to deeply study the automatic and intelligent method of smart electric power supply, this paper explores the application of wireless power transmission(WPT) in the field of driverless electric vehicles. This paper first introduces the charging principles of the 2 wireless charging modes, and then designs the corresponding charging systems respectively. Combined with the simulation, the comparison and analysis of the single receiving coil and the multi-receiving coil are carried out. It is concluded that the double receiving coil has a better power inhibition effect on the dynamic wireless charging of electric vehicles, and the appropriate coil size and spatial distribution are given. Then combined with the engineering application, this paper puts forward the active position detection strategy of electric vehicles and the collaborative wireless charging scheme combining static and dynamic charging modes. Finally, the practical application of radio energy transmission technology in the field of intelligent driverless electric vehicles is introduced.

With the vigorous development of new energy vehicles industry in China, the installed capacity of power batteries has rapidly increasing. The service life of existing power batteries is about 5~8 years, large-scale centralized retirement of power batteries will come, and the market potential for power battery recycling is enormous. According to calulated data, it is conservatively estimated that the total retirement of power batteries in China will reach 380.3 GW·h by 2030, and the total scale of the recycling market can reach 78.79 billion RMB, the scale of the cascading utilization market will grow rapidly after 2025, and the recycling market will become the main competition scenario for power battery recycling enterprises, contributing core increment to the early development of the entire industry.

This paper introduces in detail the definition, purpose, flow of work and prerequisites of general assembly simultaneous engineering(SE), as well as how to optimize the vehicle structure of the designand the production process through systematic review and analysis. Through the case, this paper analyzes the data review of vehicles, production line passing analysis, process flow design, production line planning and other key links,and then demonstrates the application of general assembly SE in solving practical problems. Finally, the development prospect of the general assembly SE is discussed, emphasizing the importance of digital transformation, modular design, intelligent manufacturing and sustainable development.