燃料电池发动机氢耗量半经验动态模型

在氢耗量稳态特性模型基础上,通过试验研究,建立了燃料电池发动机氢耗量半经验动态模型,并对模型进行了试验验证。结果表明,该模型能反映燃料电池氢耗量的动态特性,精度较高,而且该模型具有结构简单,模型参数较少等特点,通过较少的试验数据即能获得模型中的参数,便于在车辆动力学仿真研究中应用。     

HF滤毒罐制备工艺研究

论述了除氟化氢用滤毒罐的制备的工艺研究,并从处理方法、处理工艺和处理药剂等方面进行了较全面地介绍。     

氢燃料电池世博车前舱骨架结构的开发

CAE分析技术能及时发现汽车设计中存在的问题,降低开发成本。文章利用CAE技术对氢燃料电池世博车前舱骨架结构进行了静动态性能分析,包括前舱骨架的模态、强度及刚度的仿真分析。从而对前舱骨架制动和转弯等工况下的强度进行了评价,在此基础上,对某些前舱骨架局部结构进行了优化设计,得到符合要求的改进设计方案,改善了整车的应力分布,对车身结构轻量化设计具有指导作用。     

基于模糊神经网络的氢燃料汽车发动机双模式控制系统

建立了以模糊神经网络控制器和点火提前角转速自适应控制器串联组成的开闭环相结合的双模式控制系统用以实现对控制变量的分级控制。改进的模糊神经网络模型进行的最佳点火提前角的仿真与试验结果的对比研究表明：该方法求解氢发动机的最优化控制模型具有令人满意的结果。     

摩托车重要部件延迟断裂研究

摩托车许多关键部件需气体渗碳淬火,同时还要进行机械加工,在生产过程中一旦有氢陷阱就会在使用过程中导致延迟断裂。延迟断裂是环境氢从工件表面沿晶界进驻晶界并向内扩散,氢原子在此聚集,并在应力作用下最终导致沿晶界开裂。为此,在设计摩托车重要部件时,要避免使用氢含量高的材料,在加工过程中要严格控制工艺参数,防止氢迁移和扩散。     

电沉积Ni-S、Ni-W-S合金析氢阴极的研究

在电沉积法制备Ni-S合金电极的基础上,向镀液中添加钨酸钠制备了Ni-W-S合金电极.电化学测试结果表明,Ni-W-S合金电极和Ni-S合金电极的催化性能都要好于其他电极,Ni-W-S合金电极的性能随着钨酸钠浓度的升高而降低.计算了电极的电极反应动力学参数(包括Tafel斜率b、交换电流密度i0 和过电位),解释了Ni-W-S合金电极和Ni-S合金电极在不同电流密度区活性不同的原因.恒电流电解表明,Ni-W-S合金电极具有较高的稳定性.电极的微观形貌用SEM进行表征,成份用能谱进行分析,通过X射线衍射分析电极的晶型结构.     

SPE水电解制氢技术的发展

简要介绍了SPE制氢的基本原理、结构和近几年的发展。通过试验阐述SPE水电解装置的主要技术性能,同时论述与其他现场制氢设备相比该技术的优缺点,指出SPE制氢是最有发展潜力的制氢技术,是未来水电解制氢研制和发展的主要方向。     

新能源电动汽车关键技术发展现状与趋势

随着技术的发展,新能源汽车越来越被大众认可,文章论述了新能源汽车的概念与发展现状,阐述了插电式混合动力汽车、燃料电池汽车存在的问题,并分别介绍新能源汽车的关键部件,驱动电机、电池、电池管理系统的发展概况,并且展望了未来的发展趋势,其生产工艺与效率必将大大提升。     

氢在车用发动机上的应用

氢是一种清洁可再生能源,燃烧后不会产生CO2、CO、HC等有害物质,是理想的石油替代产品。介绍了国内外氢发动机的发展与现状,对氢作为燃料在发动机上的应用方式、实现途径进行了阐述。针对氢发动机在发展过程中存在的氢制取和储运难、早燃、回火、功率密度低、NOx排放高等问题进行分析并给出了相应的解决措施。     

Hydrogen refueling station networks for heavy-duty vehicles in future power systems

A potential solution to reduce greenhouse gas (GHG) emissions in the transport sector is to use alternatively fueled vehicles (AFV). Heavy-duty vehicles (HDV) emit a large share of GHG emissions in the transport sector and are therefore the subject of growing attention from global regulators. Fuel cell and green hydrogen technologies are a promising option to decarbonize HDVs, as their fast refueling and long vehicle ranges are consistent with current logistic operational requirements. Moreover, the application of green hydrogen in transport could enable more effective integration of renewable energies (RE) across different energy sectors. This paper explores the interplay between HDV Hydrogen Refueling Stations (HRS) that produce hydrogen locally and the power system by combining an infrastructure location planning model and an electricity system optimization model that takes grid expansion options into account. Two scenarios – one sizing refueling stations to support the power system and one sizing them independently of it – are assessed regarding their impacts on the total annual electricity system costs, regional RE integration and the levelized cost of hydrogen (LCOH). The impacts are calculated based on locational marginal pricing for 2050. Depending on the integration scenario, we find average LCOH of between 4.83 euro/kg and 5.36 euro/kg, for which nodal electricity prices are the main determining factor as well as a strong difference in LCOH between north and south Germany. Adding HDV-HRS incurs power transmission expansion as well as higher power supply costs as the total power demand increases. From a system perspective, investing in HDV-HRS in symbiosis with the power system rather than independently promises cost savings of around seven billion euros per annum. We therefore conclude that the co-optimization of multiple energy sectors is important for investment planning and has the potential to exploit synergies.