Multivariable Control of Fuel Cell Breathing in Ground Vehicle Propulsion

地面车辆推进中燃料电池呼吸的多变量控制

• 批准号: 0201332
• 负责人: Anna Stefanopoulou
• 金额: $ 35.58万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0201332&HistoricalAwards=false
• 关键词: Multivariable; Control; Fuel; Cell; Breathing

Over the last decade there have been dramatic improvements in proton exchange membrane (PEM) fuel cells that enabled fuel cell power to transcend from the laboratory to experimental vehicles. However, the viability, efficiency, and robustness of this technology depend on understanding, predicting, and controlling the unique transient behavior of the Fuel Cell (FC) breathing system. Although steady-state FC behavior is considered the normal operating mode; start-up, shut-down, and sudden load changes are characteristic and ubiquitous to all power producing devices. During all operating modes, our ability to precisely control the reactant flow and pressure, stack temperature, and membrane humidity is critical.To this end, phenomenological models and robust control methodologies are developed to address the subsystem conflicts and account for the nonlinear interactions and constraints imposed by sensor fidelity and actuator authority. Insight and rigorous metrics are provided for the vehicle power management and level of hybridization with battery and/or ultra-capacitor. Finally, the impact of the control architecture for the coordination of all the three electric power sources (FC, battery, ultra-capacitor) with the traction motor inverter is systematically analyzed.This project allows students to develop control theoretic tools for the highly interdisciplinary areas of FC vehicles and power systems. Both of these technologies are important to our national competitiveness and a sustainable environment.

在过去的十年里，质子交换膜（PEM）燃料电池有了巨大的进步，使燃料电池的动力从实验室超越到实验车辆。然而，该技术的可行性，效率和鲁棒性取决于对燃料电池（FC）呼吸系统独特瞬态行为的理解，预测和控制。虽然稳态FC行为被认为是正常的操作模式，但启动、关闭和突然的负载变化是所有发电设备的特征和普遍存在的。在所有的操作模式，我们能够精确地控制反应物的流量和压力，堆栈温度，和膜湿度是critical.To为此，现象学模型和鲁棒控制方法的开发，以解决子系统的冲突和帐户的非线性相互作用和传感器保真度和执行器的权力所施加的约束。为车辆电源管理以及与电池和/或超级电容器的混合水平提供了见解和严格的指标。最后，系统地分析了控制架构对所有三种电源（FC，电池，超级电容器）与牵引电机逆变器协调的影响。该项目允许学生为FC车辆和电力系统的高度跨学科领域开发控制理论工具。这两项技术对我们的国家竞争力和可持续环境都很重要。