为了解决风光互补式电动汽车充电站储能系统中,传统静态锂电池模型不能实时更新参数导致相应的开路电压和荷电状态(state of charge, SOC)估计误差大等问题,提出一种基于动态一阶RC等效电路模型的锂电池自适应实时状态估计方法。首先,...为了解决风光互补式电动汽车充电站储能系统中,传统静态锂电池模型不能实时更新参数导致相应的开路电压和荷电状态(state of charge, SOC)估计误差大等问题,提出一种基于动态一阶RC等效电路模型的锂电池自适应实时状态估计方法。首先,采用滑模控制方法追踪锂电池的实时输出电压,基于动态一阶RC等效电路模型,考虑锂电池内部参数欧姆内阻、极化内阻、极化电容和开路电压的动态变化情况,修正锂电池的端电压状态估计方程;然后,通过李雅普诺夫函数和稳定性判据推导出状态估计方程参数与实时电压追踪误差、工作电流之间的关系,得出锂电池内部参数的实时更新方法;进一步,通过实验确定开路电压与锂电池SOC之间的函数关系;在此基础上,实现锂电池状态的自适应实时估计。仿真结果表明:在风光互补式电动汽车充电站储能系统的连续变化负载工况下,所提自适应实时状态估计方法可以使锂电池估计状态快速收敛至模型参考值,避免了开路电压估计值波动问题;以安时积分和卡尔曼滤波方法修正的SOC为参考,自适应实时估计SOC的最大误差为0.72%,均方根误差和平均绝对误差分别为0.002 3和0.001 9;与开路电压-内阻模型估计SOC进行比较,自适应实时估计SOC的精度提高了一个数量级。展开更多
Engineering Drawing course is one of the main contents of teaching at most of science and engineering colleges or univer- sities. In this paper, some feasible measures is discussed on improving the teaching quality of...Engineering Drawing course is one of the main contents of teaching at most of science and engineering colleges or univer- sities. In this paper, some feasible measures is discussed on improving the teaching quality of Engineering Drawing course from four aspects, including diversified teacher participation and coordinating the teaching process, optimizing the content of teaching and im- proving teaching quality, improving teaching effect and reforming teaching methods, and integrating practice and cultivating practi- cal ability.展开更多
文摘Engineering Drawing course is one of the main contents of teaching at most of science and engineering colleges or univer- sities. In this paper, some feasible measures is discussed on improving the teaching quality of Engineering Drawing course from four aspects, including diversified teacher participation and coordinating the teaching process, optimizing the content of teaching and im- proving teaching quality, improving teaching effect and reforming teaching methods, and integrating practice and cultivating practi- cal ability.