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Modular Low-Cost Hardware-in-the-Loop Battery System Simulator Part 2: Simulation

机译:模块化低成本在环电池系统仿真器,第2部分:仿真

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摘要

By emulating energy storage devices, hardware-in-the-loop simulators are used for the experimental testing and development of battery management systems and algorithms. This poster discusses use cases and the benefits of a self-developed, modular battery simulator which is capable of both sinking and sourcing currents to integrate loads, chargers and passive and active balancing systems into a hardware-in-the-loop simulation.In order to illustrate the advantages of the battery simulator, the investigation and evaluation of two methods for online parameterization by a hardware-in-the-loop simulation is described in detail. For this purpose, a battery management system is developed and integrated into the hardware-in-the-loop platform. The embedded system monitors the cell voltages, state of charge and the battery temperature and controls the battery current and a balancing circuit. Additionally, two different Kalman filtering algorithms are implemented to continuously estimate the capacities of cells. Following, the underlying model of the battery simulator is customized. In addition to an equivalent circuit model for a total of four lithium-ion cells in a row and a thermal model, an accelerated ageing model is implemented and integrated into the battery simulator to simulate a significant reduction in capacity in a short time. Subsequently, a hardware-in-the-loop simulation is performed to test the basic functions of the battery management system. The adapted aging model also allows a quick check of the implemented Kalman filtering algorithms. Signal propagation times and measurement noises influence the parameter and state estimations as well as the performance and accuracy of the battery management system and the algorithms.The results of the simulation show that the development and integration of new algorithms can be supported with the aid of the hardware-in-the-loop simulator. The access to the actual parameter and state data allows a direct comparison of the performance of different algorithms. The developed, modular system is suitable for testing and validating various battery management systems with low resources and time expenditure without any safety risks and considering real world issues.
机译:通过仿真能量存储设备,硬件在环仿真器用于电池管理系统和算法的实验测试和开发。该海报讨论了用例和自行开发的模块化电池模拟器的好处,该模拟器能够吸收和拉出电流,以将负载,充电器以及无源和有源平衡系统集成到硬件在环仿真中。为了说明电池模拟器的优势,详细介绍了两种通过硬件在环仿真进行在线参数化的方法的研究和评估。为此,开发了电池管理系统并将其集成到硬件在环平台中。嵌入式系统监视电池电压,充电状态和电池温度,并控制电池电流和平衡电路。另外,实现了两种不同的卡尔曼滤波算法以连续估计电池的容量。接下来,定制电池模拟器的基础模型。除了用于连续四个锂离子电池的等效电路模型和热模型之外,还实施了加速老化模型并将其集成到电池模拟器中,以在短时间内模拟容量的显着降低。随后,执行硬件在环仿真以测试电池管理系统的基本功能。调整后的老化模型还可以快速检查已实施的卡尔曼滤波算法。信号的传播时间和测量噪声会影响电池管理系统和算法的参数和状态估计以及性能和准确性。仿真结果表明,新算法的开发和集成可以通过以下方式得到支持:硬件在环仿真器。通过访问实际参数和状态数据,可以直接比较不同算法的性能。开发的模块化系统适用于以低资源和时间开销测试和验证各种电池管理系统,而没有任何安全风险,并考虑了实际问题。

著录项

  • 来源
  • 会议地点 Strasbourg(FR)
  • 作者单位

    Technical University of Berlin, Department of Electrical Energy Storage Technology, Einsteinufer 11, Berlin, D-10587 Germany;

    Technical University of Berlin, Department of Electrical Energy Storage Technology, Einsteinufer 11, Berlin, D-10587 Germany;

    Technical University of Berlin, Department of Electrical Energy Storage Technology, Einsteinufer 11, Berlin, D-10587 Germany;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-26 14:32:39

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