An Energy-Efficient Sintering Temperature Multimode Control and Optimization for High-Quality Ternary Cathode Materials

Abstract

The cathode material of lithium-ion battery plays a significant role in performance of new energy vehicles. However, the lack of an effective preparation temperature optimization method and the variability of working conditions lead to high energy consumption and low product consistency. For this reason, this paper proposes an energy-efficient sintering temperature multimode control and optimization method for high-quality ternary cathode materials. Firstly, a product performance model describing grain size variation, and an energy consumption model combining heat transfer mechanism are established. With the objectives of minimizing particle size error and energy consumption, and considering sintering conditions as constraints, a multi-objective optimization formulation is constructed. To obtain an optimal setting temperature, a two-stage with two-population strategy is introduced into the state transition algorithm. The two populations determine the optimization region from different directions in the first stage, and collaborate with each other to search in the second stage. Then, a model prediction control method based on the triple sliding window is designed to achieve temperature tracking under multiple working conditions accurately. Finally, a semi-physical simulation platform for roller kiln based on Speedgoat is developed to verify and test the feasibility and effectiveness of proposed method.