Control Methodologies for Fuel Cell CHP Systems Integration and Optimization

燃料电池热电联产系统集成和优化的控制方法

• 批准号: 0501284
• 负责人: Jing Sun
• 金额: --
• 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: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0501284&HistoricalAwards=false
• 关键词: Control; Methodologies; Fuel; Cell; CHP

"Control Methodologies for Fuel Cell CHP System Integration and Optimization", PI: Jing Sun, University of MichiganThis proposal focuses on the development of enabling control methodologies for fuel cell based CHP (combined heat power) systems. CHP systems exploit the complementary features of different technologies to provide highly efficient and environmentally friendly power solutions for both stationary and mobile applications. They are characterized by synergetic interactions of heterogeneous subsystems; tight chemical, thermal, mechanical, and electrical couplings; and complex and challenging control tasks. To maintain high efficiency, these systems often operate on or close to their admissible boundary. In addition there are many operational constraints, such as continuous fuel cell reactant supply and heat plant temperature limits, that have to be strictly enforced during transient operations. The objectives of this combined theoretical and technological development project are (1) to develop control mechanisms that can maintain the control system modular architecture but are capable of dealing with constraints and uncertainties for nonlinear and interactive systems; (2) to explore the synergetic application of optimization and feedback to assure both constraint enforcement and overall system stability/optimality; (3) to address the computational feasibility issues of optimization-based control for real-time applications; and (4) to develop the enabling control technology for mobile applications of fuel cell based CHP systems through case studies.The proposed research will concentrate on developing transient capabilities of the fuel cell based CHP systems, targeting mobile platforms for both low (automotive) and high (marine) power applications. The proposed work will leverage the extensive knowledge and experience of the PI and co-PIs in the areas of automotive powertrain system integration, adaptive control, optimization, constrained control, and model predictive control. The direct involvement of industrial co-PIs facilitated by the GOALI program, combined with the PI's interactions with automotive and marine industries, will assure strong research relevance, smooth technology transfer, and a substantial impact for the proposed project.

“燃料电池热电联产系统集成和优化的控制方法”，PI：Jing Sun，美国密歇根大学该提案侧重于开发基于燃料电池的热电联产（联合热电）系统的使能控制方法。热电联产系统利用不同技术的互补功能，为固定和移动的应用提供高效和环保的电力解决方案。它们的特点是异构子系统的协同作用;紧密的化学，热，机械和电气耦合;以及复杂和具有挑战性的控制任务。为了保持高效率，这些系统通常在其容许边界上或接近其容许边界操作。此外，还有许多操作约束，例如连续燃料电池反应物供应和热设备温度限制，这些约束在瞬态操作期间必须严格执行。这个理论和技术结合的发展项目的目标是：（1）开发控制机制，既能保持控制系统的模块化结构，又能处理非线性和交互系统的约束和不确定性;（2）探索优化和反馈的协同应用，以确保约束的强制执行和整个系统的稳定性/最优性;（3）解决实时应用中基于优化的控制的计算可行性问题;以及（4）通过案例研究开发基于燃料电池的热电联产系统的移动的应用的使能控制技术。拟议的研究将集中于开发基于燃料电池的热电联产系统的瞬态能力，针对低（汽车）和高（船舶）功率应用的移动的平台。拟议的工作将利用PI和co-PI在汽车动力系统集成、自适应控制、优化、约束控制和模型预测控制领域的广泛知识和经验。GOALI计划促进的工业联合PI的直接参与，加上PI与汽车和海洋行业的互动，将确保强大的研究相关性、顺利的技术转让以及对拟议项目的重大影响。