Data for: Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehicles

This is the dynamic programming algorithm developed in Matlab and tailored for solving the optimal battery replacements and financial costs of a series of HESSs.
The state of energy of supercapacitor is adopted as the state variable and battery replacements and financial costs are the objectives, respectively.
This file can perform standalone optimization without vehicle model, however, the other two files "Bat_SC_tables.m" and "pb_pwr_TUS06.m" must be imported into Matlab workspace before running this file.
This file accounts for the results in Sections 5.4.
Every line in this file is carefully annotated.

本数据集包含基于Matlab开发的动态规划算法，该算法专为求解一系列混合能源存储系统（Hybrid Energy Storage System, HESS）的最优电池更换策略与相关财务成本而定制。
该算法以超级电容器的储能状态作为状态变量，分别将电池更换策略与财务成本设为优化目标。
本文件可脱离车辆模型独立执行优化任务，但运行本文件前，需将另外两个文件"Bat_SC_tables.m"与"pb_pwr_TUS06.m"导入至Matlab工作区。
本文件对应第5.4节的实验结果。
本文件的每一行代码均配有详细注释。