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Description: 采用MEGA16作为主芯片，2行液晶屏作为显示，可显示当前充电状态及当前环境状态，可进行电流选择等。-MEGA16 used as the main chip, 2 line LCD screen as a display to show the current state-of-charge and the current state of the environment, it can conduct current selection.
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Description: 设计了基于脉冲宽度调制技术的太阳能充电控制系统对蓄电池充电效果进行了验证 实验结果表明系统
能够有效判断蓄电池的充电状态并采取相应的充电方式达到延长其使用寿命的目的-Is designed based on pulse-width modulation technology, solar charge control system for battery charging effects were verified by experimental results show that the system can effectively determine the battery state of charge and take the appropriate charging method to achieve the purpose of extending its life
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Size: 25600 |
Author: 姜晓东 |
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Description: The support vector machine (SVM) is a novel type of learning machine based on statistical learning theory
that can map a nonlinear function successfully. As a battery is a nonlinear system, it is difficult to establish
the relationship between the load voltage and the current under different temperatures and state of
charge (SOC). The SVM is used to model the battery nonlinear dynamics in this paper. Tests are performed
on an 80Ah Ni/MH battery pack with the Federal Urban Driving Schedule (FUDS) cycle to set up the
SVM model. Compared with the Nernst and Shepherd combined model, the SVM model can simulate
the battery dynamics better with small amounts of experimental data. The maximum relative error is 3.61 .
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Size: 179200 |
Author: alice |
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Description: 消防电源管理，使用51单片机对电源状态进行检测充电保护等-Fire power management, MCU 51 to detect the power state of charge protection
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Size: 6144 |
Author: liuxinjiang |
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Description: 用matlab/simulink 开发估算电池SOC的基本方法-battery State of Charge calculate method
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Size: 14336 |
Author: Qi Xingxin |
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Description: 本文介绍了一种基于单片机的太阳能控制器，系统使用低功耗、高性能的AT89S51单片机作为控制电路的核心器件。此系统由太阳能电池模块，蓄电池，充放电电路，电压采集电路，单片机控制电路和光耦驱动电路组成。设计使用PWM（脉宽调制）控制技术来控制蓄电池充放电，通过控制MOSFET管开启和关闭达到控制电池充放电的目的。实验结果表明，该控制器性能可靠，可以监视太阳能电池和蓄电池电池状态，实现控制蓄电池最优充放电，达到延长蓄电池的使用寿命。-This paper introduces a solar controller based on MCU, AT89S51 chip with low power consumption, high performance of the system as the core device control circuit. This system consists of solar battery module, battery, charging and discharging circuit, voltage acquisition circuit, SCM control circuit and optocoupler drive circuit. Design using PWM (pulse width modulation) control technology to control the battery charge and discharge, by controlling the MOSFET tube open and closed to control the battery charge and discharge of the objective. The experimental results show that, the controller performance is reliable, can monitor the solar cell and battery state of charge and discharge the battery, to achieve optimal control, to prolong the service life of the battery.
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Author: 阿娇 |
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Description: 电动汽车是智能电网的一个重要组成部分，能很好的解决能源紧缺，环境污染等问题。无线充电技术更有利于电动汽车与电网进行互动，更好的发挥电动汽车削峰填谷、消纳可再生能源的功能。本文在研究中国电动汽车发展相关政策的基础上，结合电动汽车无线充电的特点，基于统计数据，利用蒙特卡罗方法抽取私家电动汽车一次出行里程数，根据电池充电特性及车辆行驶习惯获得电动汽车充电的起始荷电状态、充电功率和起始充电时间，建立了一个较为精确的预测无线充电私家电动汽车充电负荷的数学模型，并对2015年和2020年私家电动汽车进行了充电负荷的预测。大量电动汽车的接入将对电网的运行和规划带来较大的影响，对未来电动汽车充电负荷水平进行计算和分析将有利于智能电网的建设和调度。-Electric cars are the smart grid is an important part of a good solution to energy shortages, environmental pollution and other issues. Wireless charging technology is more conducive to interact with the grid electric cars, electric vehicles play better load shifting, renewable energy consumptive functions. This paper studies the development of electric vehicles in China on the basis of relevant policies, combined with the characteristics of wireless charging of electric vehicles, based on statistical data, using the Monte Carlo method for extracting a private electric car trip mileage, according to the vehicle battery charging characteristics and habits to get electric cars the initial charge state of charge, charging time charging power and start to build up a more accurate prediction of private wireless charging electric vehicle charging load mathematical model, and in 2015 and 2020 conducted a private electric vehicle charging load forecasting . A large number of electric vehicles
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Size: 1024 |
Author: lhj |
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Description: extended kalman fitler
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Size: 187392 |
Author: adj |
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Description: 基于锂电池充放电状态的混合储能系统控制策略设计-Li-ion battery hybrid energy storage system based on the state of charge and discharge control strategy design
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Author: mm201441 |
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Description: 电池与一个动态的50A负荷相连，当SOC低于0.4时，启动同步电机转动，给电池充电；当大于0.8时，停止同步电机转动。-The battery is connected to a constant load of 50 Amps. The DC machine is connected in parallel with the load and operates at no load torque. When the State-Of-Charge (SOC) of the battery goes under 0.4 (40 ), a negative load torque of 200 Nm is applied to the machine so it acts as a generator to recharge the battery. When the SOC goes over 80 , the load torque is removed so only the battery supplies the 50 amps load.Battery voltage, SOC, Motor speed and Motor current signals are available at the output of the block.
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Size: 17408 |
Author: 郝雨 |
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Description: state of charge of battery with ekf
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Size: 19456 |
Author: abdelilah |
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Description: 利用EKF估计电池剩余电量方法的论文，以及SOC估计方法的经典综述。-State of charge estimation by EKF, and review for the approaches of SOC estimation
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Size: 6947840 |
Author: daidai chen |
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Description: 根据最优滤波理论，设计了电池荷电状态soc的估算，并对模型进行了分析-According to the optimal filtering theory, the SOC estimation of the state of charge of the battery is designed, and the model is analyzed.
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Size: 1489920 |
Author: xiaoxiao |
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Description: 一个MATLAB/Simulink模型，关于电动汽车动力电池荷电状态（State of Charge，SOC）估计；
包括参数文件、模型文件两种，模型文件分别仿真了110A恒流、110A脉冲和ECE15工况；
建模采用基于PEGV的电池等效模型对SOC进行估计，并且加入了温度修正等。
模型比较简单，原理清楚，适合对电动汽车动力电池SOC的估计有兴趣的初学者参考学习，学习前请阅读2到3篇基于电池PNGV等效电池模型的动力电池SOC估计方面论文，这样对理解模型更有帮助。-A MATLAB/Simulink model, on the electric vehicle power battery State of Charge, SOC estimates
Including the parameter file and the model file, the model file simulates 110A constant current, 110A pulse and ECE15 working condition respectively.
The SOC model was used to estimate the SOC and the temperature correction was added.
The model is relatively simple, the principle is clear, suitable for beginners interested in electric vehicle power battery SOC estimation, it will be better to read 2 to 3 SOC estimation papers about battery PNGV equivalent battery.
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Size: 72704 |
Author: 孙梨 |
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Description: In this paper, a typical BMS block diagram has been proposed using various functional blocks. The state of charge(SOC) estimation has been implemented using Coulomb counting and open circuit voltage methods thereby eliminating the
limitation of the stand-alone Coulomb counting method. By modeling the battery with SOC as one of the state variables, SOC can be estimated which is further corrected by Kalman filtering method. The battery parameters from experimental results are
integrated in the model and simulation results are validated by experiment.
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Author: drfang07
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Description: A methodology to accurately estimate the state of charge of the batteries used in HEV is propoesed. A linear relationship exists between open circuit voltate and SOC.
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Size: 1553408 |
Author: drfang07
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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)
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Author: sulong
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Description: 1.SOC，全称是State of Charge，荷电状态，也叫剩余电量，代表的是电池使用一段时间或长期搁置不用后的剩余容量与其完全充电状态的容量的比值，常用百分数表示。(1.SOC, full name is State of Charge, state of charge, also called residual power, represents the ratio of the remaining capacity of the battery after it has been used for a period of time or after being left unused for a long period of time.)
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Author: LLLLLancer |
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Description: 本文为直流微电网中的多个dc-ES建立了分布式协同控制框架，并给出了系统的小信号稳定性分析。 主要级别实现下垂控制以协调多个dc-ES的操作。 次级控制基于一致性算法来调节直流母线电压基准，并结合dc-ES之间的充电状态（SOC）平衡。 通过该设计，协同控制可以实现平均直流总线电压一致，并且仅使用邻居到邻居信息来维持不同dc-ES之间的SOC平衡。 此外，开发了具有主控制器和辅助控制器的四个dc-ES系统的小信号模型。 提出了特征值分析，以显示通信权重对系统稳定性的影响。(This paper establishes a distributed cooperative control framework for multiple dc-ESs in a dc microgrid and presents the small-signal stability analysis of the system. The primary level implements a droop control to coordinate the operations of multiple dc-ESs. The secondary control is based on a consensus algorithm to regulate the dc-bus voltage reference, incorporating the state-of-charge (SOC) balance among dc-ESs. With the design, the cooperative control can achieve average dc-bus voltage consensus and maintain SOC balance among different dc-ESs using only neighbor-to-neighbor information. Furthermore, a small-signal model of a four dc-ESs system with the primary and secondary controllers is developed. The eigenvalue analysis is presented to show the effect of the communication weight on system stability.)
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Author: jiejei |
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Description: 基于模型的设计课程是一系列自定进度的学习模块, 旨在培养混合动力电动汽车背景下基于模型的设计的基本理解。在本课程中, 基于模型的设计被定义为在复杂系统 (如车辆动力总成) 中开发物理系统和控制器数学模型的方法。本课程的目的是通过开发基本模型来建立对复杂系统的理解, 这些模型可以修改, 以纳入更复杂的行为。监控与故障诊断是该系列的第三门课程。介绍了推进转矩控制和发电机控制模型的应用, 介绍了电池充电状态调节的监控, 并讨论了故障诊断方法。(The Model-Based Design Curriculum is a series of self-paced learning modules aimed at developing a basic understanding of Model-Based Design within the context of hybrid electric vehicles. In this course, Model-Based Design is defined as a method for developing mathematical models for physical systems and controllers in complex systems such as a vehicle powertrain. The intent of this course is to build understanding of complex systems through the development of basic models that can be modified to incorporate more complex behaviors. Supervisory Control & Fault Diagnosis is the third course in the series. It introduces the use of models for developing propulsive torque control and generator/engine control, describes supervisory control for battery state-of-charge regulation, and also discusses methods for fault diagnosis.)
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Author: 淡定浅笑 |
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