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Technical Paper

Downhill Safety Assistant Driving System for Battery Electric Vehicles on Mountain Roads

When driving in mountainous areas, vehicles often encounter downhill conditions. To ensure safe driving, it is necessary to control the speed of vehicles. For internal combustion engine vehicles, auxiliary brake such as engine brake can be used to alleviate the thermal load caused by the continuous braking of the friction brake. For battery electric vehicles (BEVs), regenerative braking can be used as auxiliary braking to improve brake safety. And through regenerative braking, energy can be partly converted into electrical energy and stored in accumulators (such as power batteries and supercapacitors), thus extending the mileage. However, the driver's line of sight in the mountains is limited, resulting in a certain degree of blindness in driving, so it is impossible to fully guarantee the safety and energy saving of downhill driving.
Technical Paper

Research on Heat Dissipation Performance of Battery Pack Based on Vertical Arrangement of Flat Plate Heat Pipes

Temperature is a direct factor affecting battery performance. If the temperature of the battery is too high or the temperature difference between cells is too large, it will accelerate the degradation of battery performance, reduce the battery life, and may cause safety problems such as thermal runaway in severe cases. Efficient thermal management of batteries is important to improve battery performance and safety. The flat plate heat pipe(FPHP) has high thermal conductivity, strong isothermal performance and light weight, it’s an ideal heat dissipating component for battery thermal management. In this study, the FPHP is used as the heat conduction component of the battery pack. Firstly, the position of the FPHP with minimum thermal resistance is obtained through experiments.
Technical Paper

Real-time and accurate estimation of road slope for intelligent speed planning system of commercial vehicle

In the intelligent speed planning system, real-time estimation of road slope is the key to calculate slope resistance and realize the vehicles’ active safety control. However,if the road slope is measured by the sensor while the commercial vehicle is driving, the vibration of the vehicle body will affect its measurement accuracy. Therefore, the relevant algorithm is used to estimate the real-time slope of the road when the commercial vehicle is driving. At present, many domestic and foreign scholars have analyzed and tested the estimation of road slope by the least square method or kalman filter algorithm. Although the two methods both can achieve the estimation, the real-time performance and accuracy still need to be improved. In this paper, for traditional fuel commercial vehicle, the kalman filter algorithm based on the kinematics and the extended kalman filter algorithm based on the longitudinal dynamics are respectively used to estimate the road slope.