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 degradation of a HESS.
The state of energy of supercapacitor is adopted as the state variable and battery degradation coefficient is the objective.
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 5.2 and 5.3.
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，该算法专为求解混合能源存储系统（Hybrid Energy Storage System, HESS）的电池最优衰减问题量身定制。
该算法以超级电容器的能量状态作为状态变量，以电池衰减系数作为优化目标。
本文件可脱离车辆模型单独执行优化任务，但在运行本文件前，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5.2节与第5.3节的研究结果。
本文件的每一行代码均经过细致的注释说明。