Application of Photoelectric Torque Sensor in Automotive Powertrain Test System

With the rapid development and technological progress of the automobile industry, the performance testing and evaluation of the automobile powertrain system has become more and more important. This study designs an automotive powertrain test platform based on a photoelectric torque sensor. The study utilizes Kalman filtering to improve the photoelectric torque sensor and then establishes a power model based on the components of the automotive powertrain, such as the generator. Experimental verification is carried out using metal-belt continuously variable transmission. The loss rate of the proposed transmission system is 31% when compared to those of other transmission systems as 46% and 49% respectively. Compared with other driveline systems, the proposed power train system gave the least loss rate and smoother response data meaning the measured torque is more accurate. The proposed system also extends the service life compared with other systems due to better torque control.