Optimization Design of the Positive Electrode Performance for Lithium-Ion Batteries Based on Maximum Entropy Principle

摘要

Based on the comprehensive analysis of the current research status of lithium-ion batteries, firstly, this paper selects two quantitative indicators that have a great impact on the capacity performance and rate performance of lithium-ion batteries, the specific capacity and conductivity of lithium-ion batteries, to be optimized as multiple objectives. Secondly, for the uncertain variables in the parameters affecting the performance of the positive electrode, this paper uses a generalized method to solve the probability distribution based on the maximum entropy principle, and compares it with three common distributions, reflecting the maximum entropy distribution with a relatively high degree of fitness. And then, this paper compares several uncertain optimization methods, proposes a stochastic programming method based on the principle of maximum entropy, and uses the optimized objective function, the maximum entropy probability distribution of uncertain parameters, and the range of controllable design parameters to constitute an optimization model. Finally, the optimal solution to the optimization model, which is found by using the genetic algorithm, is solved to form a positive electrode performance optimization strategy for a certain type of lithium-ion battery.