Research On Simulation And Control Of Roller Furnace Sintering Temperature Field For Lithium-ion Battery Cathode Materials

The sintering cycle of lithium-ion battery cathode materials in the roller furnace accounts for 63% of the production cycle.A stable high-temperature sintering environment is the key condition for the chemical reaction of lithium battery raw materials.The main factors affecting the sintering environment are the uniformity of the temperature field of the roller furnace and the temperature control accuracy.In the production process,the adjustment of temperature field uniformity and the control of sintering temperature accuracy are difficult to achieve the ideal state,resulting in the quality of lithium-ion battery cathode materials that cannot meet the application requirements of high-end equipment.Therefore,studying the uniformity of the temperature field in the roller furnace and the control accuracy of the sintering temperature is of great significance for improving the product quality.In the article,the structural characteristics of the roller furnace and the sintering process of lithium-ion battery cathode materials are described,and the current research status of the simulation of the temperature field of the roller furnace and the control of the sintering temperature is briefly summarized.According to the sintering process of the positive electrode material and the structure of the roller furnace cavity,the heat transfer mode and heat transfer principle in the furnace are analyzed,and the principles of numerical simulation methods such as discretization method,turbulence model and radiation model are fully explained.Then the orthogonal experiment was designed to simulate the temperature field of the test group,and extract the temperature of different test groups for range analysis and standard deviation analysis.The optimal scheme for the uniformity distribution of the sintering temperature of the roller furnace under the experimental conditions was determined.The comparative analysis shows that the temperature curve of the temperature field in the roller furnace cavity and the actual temperature field tends to be consistent under the optimal parameter conditions.Finally,the idea of combining fuzzy control with neural network control is put forward for the influence factors of roller furnace sintering temperature and control status.On the basis of understanding the control principles and structural characteristics of PID control,fuzzy control and neural network,PID controller and fuzzy neural network controller are designed through MATLAB software,and the design process of the controller is comprehensively explained.A PID temperature control system and a fuzzy neural network control system that can realize complex nonlinear temperature control are constructed through SIMULINK.The simulation results show that the stability time of the PID control system is 500 s,the response time is 160 s,and the overshoot is 8.2%.The stable time of fuzzy neural network control is 280 s,the response time is 136 s,and the overshoot is 2.1%.The simulation characteristics of the fuzzy neural network control system with different transfer functions are compared and analyzed,and it is verified that the fuzzy neural network control system has better fault tolerance and robustness.