Environmental testing is an important technological issue to realize high level automated driving. This paper expounds the development status of environmental testing of Intelligent and Connected Vehicle (ICV) at home and abroad, clarifies the necessity of constructing tropical testing scenarios of ICVs, and further deep mines the structural framework of testing scenarios projects in the world. Then this paper extracts the environmental factors in the framework and points out the influences of the corresponding environmental factors on the automated driving factors. This paper puts forward that the environmental elements of the tropical test scenarios, including climate, traffic and vegetation, and summarizes the characteristics of Hainan’s climate, traffic and vegetation, representative tropical test scenarios for ICVs provide basis for implementation of high level automated driving.

Vehicles with fixed displacement compressors appear frost on the evaporator surface in a hot and humid environment, which affects driving comfort seriously. Starting from this practical problem, this paper aims to formulate a test method for the determination of the protection temperature of the evaporator with a fixed displacement compressor. 5 major evaluation items are formulated from the development perspective of vehicle air conditioning system. The Analytic Hierarchy Process (AHP) method is applied to establish an evaluation index system for the determination of the evaporator protection temperature and the evaluation criteria are established. The feasibility and effectiveness of this model is verified by typical cases, finally the method for determining the evaporator protection temperature of a passenger car with compressor provides an important reference for the selection of the best evaporator protection temperature range and the development of an efficient air conditioning system.

Intellectualization and networking are the significant strategic development direction of the automobile industry in our country. Software defining vehicle has become an important feature of the development direction of the industry. With online upgrading of software for Intelligent and Connected Vehicle (ICV), the introduction of new functions, the iteration of product’s performance, and the improvement of user experience can be realized economically and efficiently. In recent years, the scale and scope of its application have both been expanded. However, the online upgrading of ICV software involves process states before, during and after the upgrading process, which brings new challenges to the original pattern of managing the automobile. This paper comprehensively analyzes both domestic and foreign experience of innovative management of vehicles, and puts forward targeted solutions and proposals towards the potential security risks of ICV software’s online upgrading from the aspect of management.

In order to clarify the key technology of pure electric vehicle body design, the difficulties of pure electric vehicle body design and corresponding solutions are discussed. Firstly, from the perspective of the important parts carried by electric vehicles and traditional fuel vehicles, the differences between electric vehicles and fuel vehicles are revealed. Then, the difficulties in the body design of pure electric vehicles are described, and the solutions of the body structure design of electric vehicles are given for each difficulty. It includes the complete and continuous design of the body bottom beam system structure, the crashworthiness design of the side column collision, the installation point design of the front and rear suspension of the body, the waterproof design of the body, the aluminum alloy body design, the locking technology of the whole vehicle electric change and the powertrain suspension technology. To sum up, the analysis shows that mastering these key technologies will make it easier to achieve the expected goal in the body structure design of pure electric vehicles.

In order to improve the heating performance of fuel cell vehicles in low temperature environment, this paper analyzed the cold start process of fuel cell vehicles at low temperature, and analyzed the principle, advantages and disadvantages of heat pump heating system and Positive Temperature Coefficient (PTC) heating system. Taking a fuel cell bus as an example, the application of PTC heating system in a fuel cell vehicle is analyzed by means of real vehicle test. The research results show that PTC heating is the most suitable vehicle heating method in low temperature environment, fuel cell bus due to the large interior space, the temperature rise rate is slow, and specific suggestions are given for the current vehicle heating scheme. The heat pump heating system has higher energy utilization efficiency, the fuel cell thermal management scheme is very important to improve the driving range, strengthen the heat exchange between the heating system and the interior space to improve the interior heating speed.

In recent years, research has found that by reasonably improving the design method of the automotive environmental wind tunnel and optimizing the internal parameters, the flow field index and accuracy of the wind tunnel can be significantly improved. Through collecting and analyzing the relevant literatures, this paper obtains the design optimization direction and method of the automotive environmental wind tunnel, and affirms the bright prospect of the semi-mechanized physical wind tunnel. According to the main performance evaluation indicators of the environmental wind tunnel, the influence factors of the flow field indicators are analyzed, and according to the reduction law of the floor boundary layer, it is found that the horizontal suction effect and the flow field indicators can be effectively improved by optimizing the floor boundary layer of the wind tunnel, improving the horizontal suction intensity and controlling the distance between the air outlet and the vehicle.

The application of Camera Monitor System (CMS) makes driving safer, more intelligent, more economical and more environmentally friendly. By tracking the development of electronic mirrors in the world’s leading commercial vehicle enterprises and summarizing relevant literatures, the disadvantages of rear-view mirrors, advantages of CMS and their market demand, technological development and regulatory environment are analyzed, and the development trend of CMS for commercial vehicles in China is predicted, and suggestions are put forward for the development of electronic mirrors industry. The results show that the CMS presents high technical complexity, high product value and high patent barrier. It is necessary for China to accelerate the introduction of regulations, stimulate the vehicle and spare parts enterprise to accelerate the pace of research, verification and product application, promote industry development and participate in international competition.

To ensure the safety and comfort of automateddriving vehicles in complex traffic environments, it is not only necessary to perceive the vehicle running state of surrounding obstacles at the current moment, but also predict the vehicle running state of surrounding obstacles in the time ahead. The application of High Definition map (HD) provides rich road information for the automated driving system. Therefore, this paper proposed an obstacle trajectory prediction algorithm based on HD map, which accurately predicts the trajectory of obstacles in the time ahead, so that the vehicle can make corresponding decision adjustment according to the trajectory of obstacles in the next 7 s, and improve the safety and comfort of automated driving. A multi-dimensional trajectory accuracy evaluation method is also proposed. The prediction accuracy is evaluated from various dimensions, which reflects the performance of trajectory prediction algorithm in different aspects.

To study the performance of a-PLI new leg form test and develop coping strategies, this paper compares the test results of a-PLI and Flex-PLI by analyzing the test results of a-PLI leg tests on 4 different types of vehicles. The results show that great differences between different front structures on leg support performance are existed, which seriously affects the a-PLI leg injury value. Then the key influencing factors of a-PLI leg injury indexes are analyzed, which can guide the development of new vehicle project.

At present, the research on vehicle trajectory tracking control has made some achievements. However, due to the poor adaptability of the control algorithms under different working conditions, there are still large tracking errors. In order to improve the adaptability, tracking accuracy and robustness of intelligent vehicles, an adaptive PID control method based on Model Reference Adaptive Control system (MRAC) is proposed. An adaptive PID control method based on MRAC is obtained by using 3 parameters of the output error of the vehicle model and the reference model. The simulation results in MATLAB show that the maximum lateral tracking errors of the adaptive PID based on MRAC in the 2 working conditions are 0.036 m and 0.076 m respectively. Compared with the traditional PID control model, the control accuracy of the control model is improved by 52.10% and 11.76%, which shows better lateral trajectory tracking performance.