Heavy-Duty Fuel Cell System Optimization in a Hybrid Fuel Cell Powertrain

混合燃料电池动力系统中的重型燃料电池系统优化

• 批准号: 485559-2015
• 负责人: Wang, Jiacheng
• 金额: $ 0.61万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618617
• 关键词: Heavy; Duty; Fuel; Cell; System

This proposal is an extension of an existing NSERC Engage project with Ballard, titled "Hybrid PowertrainTest Bed for Heavy-Duty Fuel Cell Bus". The proposed project is mainly aimed at developing an optimaldesign framework for the heavy-duty hybrid powertrain by incorporating fuel cell durability, dynamics, andefficiency into the design, and to build a hardware platform for research on design and development ofadvanced operation schemes and energy management methods. In this CRD proposal, Ballard is seeking todevelop a design framework which enables the characterization of fuel cell performance and durability undervarious operating conditions. The proposed framework optimizes the sizes of the fuel cell and the battery toachieve minimum hydrogen consumption as well as the cost of the powertrain. System-level controller forpower and energy management will be designed to minimize stressors on the fuel cell and maximize itslifetime. This CRD will assist in implementing the design framework by developing component models andsizing optimization algorithms, and physically implementing power converters and control schemes for thehybrid fuel cell powertrain. The optimum sizing of components and energy management scheme is the mosteffective way to extend the lifetime of the fuel cell by minimizing voltage and dynamic stressors.

该提案是现有的NSERC与巴拉德合作项目的延伸，名为“重型燃料电池客车混合动力系统试验台”。本项目主要旨在通过将燃料电池耐久性、动力学和效率纳入设计中，为重型混合动力系统开发一个优化设计框架，并建立一个硬件平台，用于研究设计和开发先进的运行方案和能源管理方法。在该CRD提案中，Ballard正在寻求开发一种设计框架，以表征燃料电池在各种操作条件下的性能和耐久性。提出的框架优化了燃料电池和电池的尺寸，以实现最小的氢消耗以及动力系统的成本。用于电源和能源管理的系统级控制器将被设计成最小化燃料电池的压力源并最大化其使用寿命。该CRD将通过开发组件模型和尺寸优化算法，以及物理实现混合燃料电池动力系统的功率转换器和控制方案，协助实施设计框架。优化部件尺寸和能量管理方案是通过最小化电压和动态应力来延长燃料电池寿命的最有效途径。