Description: The fuzzy logic control based battery management system has been designed for effective power utilization. The proposed control to operate the battery charging and discharging mode during non-linear power generation. The battery will charge whenever the renewable energy power is greater than to consumer load power as well as the battery will discharge whenever the renewable energy power is lesser than to consumer load power. The proposed model will be simulated using Matlab environment and analysis the proposed system results. Finally, simulation results are uated and validating the effectiveness of the proposed controller.- The fuzzy logic control based battery management system has been designed for effective power utilization. The proposed control to operate the battery charging and discharging mode during non-linear power generation. The battery will charge whenever the renewable energy power is greater than to consumer load power as well as the battery will discharge whenever the renewable energy power is lesser than to consumer load power. The proposed model will be simulated using Matlab environment and analysis the proposed system results. Finally, simulation results are uated and validating the effectiveness of the proposed controller. Platform: |
Size: 356352 |
Author:ala |
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Description: 在这项研究工作中主要集中开发基于混合光伏风电系统的智能控制和电网整合以及电池存储系统。电网整合混合式PV-Wind与基于智能控制器的电池管理系统[BMS]已经在Matlab中开发了一个仿真模型，并分析了正常条件下的系统性能。同样的系统已经用UPFC模拟，并分析了不同故障条件下的系统性能。-In this research work focused on the development of smart grid integration and control, and battery storage system based on photovoltaic hybrid wind systems. Grid integration hybrid PV-Wind-based intelligent controller and a battery management system [BMS] has developed a simulation model in Matlab and analyze system performance under normal conditions. The same system has been used UPFC simulation, and analysis of the performance of the system under various fault conditions. Platform: |
Size: 189440 |
Author:chao |
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Description: 在安时计量方法的基础上, 采用基于折算库仑效率的卡尔曼滤波算法估计蓄电池荷电状态(SOC),并
将此方法应用于 HEV6580混合动力电动汽车镍氢电池管理系统。系统实现的功能包括: 数据监测、数据显示、CAN
通信、SOC估计、热管理和安全报警。经电池试验台模拟工况试验验证, 电池管理系统各子系统达到设计要求且工
作稳定。改进 SOC估计方法解决了传统安时计量法不能估计初始 SOC、难于准确测量库仑效率的问题, 为电池管
理系统稳定工作提供保证(Based on the counting method, using the Calman filter algorithm converting coulomb efficiency estimation based on state of charge (SOC), and
This method is applied to the Ni MH battery management system of HEV6580 hybrid electric vehicle. The functions of the system include: data monitoring, data display, CAN
Communication, SOC estimation, heat management and security alarm. The battery management system has been verified by the simulation test, and the subsystems of the battery management system meet the design requirements and work.
Make it stable. The improved SOC estimation method to solve the SOC, the initial coulombic efficiency are difficult to measure the traditional ampere hour measurement cannot be estimated for the battery tube
Providing guarantee for the stability of the system) Platform: |
Size: 442368 |
Author:sulong
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