Establishment And Verification Of Real-time Temperature Model For DCT

Dual Clutch Transmission(DCT)is one of the mainstream transmission types on the market.Dry DCT transmission has high efficiency,but the heat dissipation conditions are poor.Especially in extreme conditions such as traffic jams and frequent shifts,the main clutch slips and heats up and the temperature rises seriously,which directly affects the friction and wear performance of the friction plates,which is the bottleneck of DCT application.Therefore,it is urgent to study the temperature model with small calculation amount,fast calculation speed and high precision for temperature rise control of DCT.In this paper,the real-time temperature model of dry DCT is established and improved,and finally a four-parameter temperature model that satisfies real-time temperature control is obtained.Based on the geometric and physical characteristics of the DCT master clutch,this paper proposes a one-dimensional assumption of the temperature field,establishes an energy balance equation,and derives a time-space discrete model of the unsteady heat conduction process under the action of the internal heat source.Based on this design,the temperature rise coefficient and the heat dissipation coefficient are designed.The two-parameter simplified model is obtained.The two-parameter model is verified by bench test.The experimental results show that the maximum absolute error of the model is 17.5°C,the maximum relative error is 17.8%,the calculation accuracy is low,and the model needs to be improved.The variation of model parameters of the two-parameter temperature model is summarized.It is found that there is a linear relationship between the ambient temperature and the model parameters(heating coefficient and heat dissipation coefficient),so the linear relationship between the two is written into the two-parameter temperature model.Improved two-parameter temperature model.The experimental results of the improved two-parameter temperature model are verified.The experimental results show that the maximum absolute error of the model is 13 °C,and the maximum relative error is 13.2%.The calculation accuracy still needs to be improved.Further summarizing the law of the model parameters,it is found that when the ambient temperature is the same,there is a roughly linear positive correlation between the model parameters and the sliding power,so the relationship between the two is also written into the two-parameter temperature model,and the four-parameter temperature is obtained model.The four-parameter temperature model is experimentally verified.The experimental results show that the maximum absolute error of the four-parameter temperature model is 2.5°C,and the maximum relative error is 4.4%,which satisfies the requirements of dry DCT real-time temperature control.