Front vehicle detection based on improved fusion method for lidar and visual image

In order to ensure the detection accuracy, an improved adaptive weighted (IAW) method is proposed in this paper to fuse the data of images and lidar sensors for the vehicle object’s detection. Firstly, the IAW method is proposed in this paper and the first simulation is conducted. The unification of two sensors’ time and space should be completed at first. The traditional adaptive weighted average method (AWA) will amplify the noise in the fusion process, so the data filtered with Kalman Filter (KF) algorithm instead of with the AWA method. The proposed IAW method is compared with the AWA method and the Distributed Weighted fusion KF algorithm in the data fusion simulation to verify the superiority of the proposed algorithm. Secondly, the second simulation is conducted to verify the robustness and accuracy of the IAW algorithm. In the two experimental scenarios of sparse and dense vehicles, the vehicle detection based on image and lidar is completed, respectively. The detection data is correlated and merged through the IAW method, and the results show that the IAW method can correctly associate and fuse the data of the two sensors. Finally, the real vehicle test of object vehicle detection in different environments is carried out. The IAW method, the KF algorithm, and the Distributed Weighted fusion KF algorithm are used to complete the target vehicle detection in the real vehicle, respectively. The advantages of the two sensors can give full play, and the misdetection of the target objects can be reduced with proposed method. It has great potential in the application of object acquisition.

Analysis of the Powertrain Component Size of Electrified Vehicles Commercially Available on the Market

The paper aims to present an analysis of the component sizes of commercially available vehicles with electrified powertrains. The paper provides insight into how the powertrain components (an internal combustion engine, an electric motor and a battery) of mass production electrified vehicles are sized. The data of wide range of mass production electrified vehicles are collected and analyzed. Firstly, the main requirements to performance of a vehicle are described. The power values to meet the main performance requirements are calculated and compared to the real vehicle data. Based on the calculated values of the power requirements the minimum sizes of the powertrain components are derived. The paper highlights how the sizing methodologies, described in the research literature, are implemented in sizing the powertrain of the commercially available electrified vehicles.

Lightweight Design of Patch Plate on Car-body B-pillar based on Side Impact Safety

The B-pillar of automobile needs to meet the requirements of vehicle strength and rigidity, and also consider the fuel economy of vehicle. Therefore, the design and development of B-pillar is a difficult point in the field of car body design and manufacturing. Based on the side impact regulations, the safety model ling and simulation analysis of the B-pillar of the vehicle was carried out to obtain the change law of the intrusion amount and the intrusion speed of the five key points in the whole process. According to the analysis results of side impact of B-pillar, a scheme to reduce the material thickness of B-pillar body and increase patch plate for lightweight design was proposed, and a comparative analysis of the safety of side impact was made. In view of the problem that the intrusion of B-pillar of a real vehicle model did not conform to the regulations, the design scheme of adding patch plate was proposed to improve the safety of side impact. According to the actual collision results, the simulation model was modified, and the design scheme was simulated and optimized. The reliability of the design scheme was verified by the real vehicle collision analysis. The results show that: in the side collision of B-pillar, the intrusion of D2 position measurement point is the largest, the intrusion velocity of D3 position measurement point is the largest, and the intrusion amount and intrusion speed of D5 position measurement point are the smallest. Patch plates are added to the inner side of adjacent area of D2 position measurement point. The welding point is welded with B-pillar structure, and other areas of B-pillar keep the same structure, so as to realize lightweight and effective improvement of safety. Under the condition of maintaining the original material and thickness of B-pillar, two patches with thickness of 2 mm and material of B340LA are added in the middle of B-pillar to improve the structural strength. The defect area is set at the wrinkle position of the original B-pillar to guide the deformation mode of the B-pillar. The relative deviation between simulation calculation and test intrusion is less than 20 %, and the car crash simulation model with improved B-pillar structure is more accurate. For this type of car, the optimization and improvement effect of B-pillar structure is ideal, which improves the passenger safety protection ability in side impact.

Simulation of Shield Current in Automotive High Voltage Systems

In automotive high voltage (HV) systems, the switching operation of a power electronic converter causes current and voltage ripple in the frequency range of [10 Hz–150 kHz]. Automotive system engineering provides requirements that define the behaviour of HV components in that frequency range. Shielded HV cables must stand induced current in the frequency range of the ripple. One of the relevant requirements is the maximal current stress of the shielding. Several individually shielded cables are used in automotive HV systems, and these shields influence differential mode disturbance currents, such as the ripple current from the traction inverter. In this work, we provide a model and an analysis of shielded cables integrated into an automotive HV system in relation to system-level design parameters. To fill the gaps of existing research, we focused on two questions: How do design parameters influence the shield current value in the frequency range of the current ripple in a vehicle, and how should a shield and connector system be designed with respect to shield currents over the life-time? We applied analytical and simulative solutions to these problems through a co-simulation approach on the architecture of a real vehicle. The presented approach extends existing research by integrating simulations and vehicle measurements to life-time prediction. Moreover, the proposed methods enable the replacement of the state-of-the-art constant 10 A requirement to a driver profile based predicted shield current requirement on individually shielded HV cables in battery electric vehicles (BEV).

Brake Health Prediction Using LogitBoost Classifier Through Vibration Signals

Brake is one of the crucial elements in automobiles. If there is any malfunction in the brake system, it will adversely affect the entire system. This leads to tribulation on vehicle and passenger safety. Therefore the brake system has a major role to do in automobiles and hence it is necessary to monitor its functioning. In recent trends, vibration-based condition monitoring techniques are preferred for most condition monitoring systems. In the present study, the performance of various fault diagnosis models is tested for observing brake health. A real vehicle brake system was used for the experiments. A piezoelectric accelerometer is used to obtain the signals of vibration under various faulty cases of the brake system as well as good condition. Statistical parameters were extracted from the vibration signals and the suitable features are identified using the effect of the study of the combined features. Various versions of machine learning models are used for the feature classification study. The classification accuracy of such algorithms has been reported and discussed.

Analysis of EEG Characteristics of Drivers and Driving Safety in Undersea Tunnel

To study the influence of the driving environment of an undersea tunnel on driver EEG (electroencephalography) characteristics and driving safety, a real vehicle experiment was performed in the Qingdao Jiaozhou Bay Tunnel. The experimental data of the drivers’ real vehicle experiment were collected using an illuminance meter, EEG instrument, video recorder and other experimental equipment. The undersea tunnel is divided into different areas, and the distribution law of driving environment characteristics, EEG characteristics and vehicle speed characteristics is analyzed. The correlations between the driving environment characteristics, EEG characteristics and vehicle speed characteristics model the variables that pass the correlation test. The driving safety evaluation model of an undersea tunnel is established, and the driving safety in different areas of the undersea tunnel is evaluated. The results show that there are obvious differences in illumination, EEG power change rate, vehicle speed and other variables in different areas of the undersea tunnel. The driving environment characteristics are highly correlated with the β wave power change rate. The driving safety of different areas of the undersea tunnel from high to low is: upslope area, downslope area, exit area and entrance area. The study will provide a theoretical basis for the safe operation of the undersea tunnel.

Acceleration based black-box accident detection and warning system

This research paper has been consecrated to design a black-box accident warning system that combines both Global System for Mobile Communication (GSM) and Global Positioning System (GPS) technologies to locate and send a Minimum Amount of Data containing important information about the accident gathered using different sensors such as the accident type, geographic coordinates, time and velocity of the vehicle to the intervention services (Hospitals, civil protection and police). In addition, the system exploits the data obtained via OBD-II standard to provide a reliable accident detection method based on the vehicle acceleration. Obviously, this system seemed to be the best solution for countries where the average age of vehicles is quite higher than others. The system has been placed in a real vehicle in order to test the accident detection algorithm by applying sudden medium braking.

Energy Absorption Characteristics of Passenger Car With Origami Structure

In the crash collision, the vehicle energy absorbers play an important role in the energy absorbed performance. Current vehicle energy absorbers have two defects during collision, such as only 70 % collapsed in its length and high initial peak load. It is because present energy absorbed column is the most primitive from the point of Origami structure. We developed the column so called Reversed Spiral Origami Structure; RSO which solves these 2 defects. However, for RSO, the manufacturing cost of hydroforming in the existing technology is too expensive to be applied in real vehicle structure. To address the problems, we have developed a new molding method called “Partial-heating torsion molding method”. And we have developed RTO (Reversed Torsion Origami Structure) by this new molding method at a very low cost. We show this RTO also solves the two defects of the present vehicle absorbers by not only simulation but also experiments. This structure is possible to replace conventional energy absorbers and it is expected to be widely used such as not only in automobile structures but also in building ones.