新型光伏锂电无均衡管理储能发电系统

提出了一种新型光伏锂电储能系统拓扑结构.在该结构中,光伏电池与锂离子电池单体之间通过控制单元实现能量耦合,通过光伏电池与锂离子电池单体之间的结构耦合,实现锂离子电池的无均衡管理（NBCM）.对该拓扑结构进行了仿真和实验验证,实验结果表明,该光伏锂电储能模组能够在以欠压浮充为投切判据的控制单元工作模式下,实现光伏电池近似MPPT工作的同时,能有效地对锂离子电池进行充放电;与肖特基二极管近似直连相比,通过MOSFET以近似直连的方式耦合选定工作电压的30 W光伏电池与锂离子电池能够提升模组能量效率约8%,在独立运行和并网运行光伏储能发电系统中均可应用.      

基于元胞传输模型的雨天高速公路可变限速方法

可变限速控制可减小降雨导致的高速公路交通拥堵和事故风险.提出雨天高 速公路可变限速控制策略,对经典的元胞传输模型进行改进,构建适用于雨天可变限速 控制问题的高速公路动态交通流模型;在综合考虑交通安全和效率基础上,建立雨天环 境下高速公路可变限速控制方法和模型.实验结果表明,与固定限速相比,雨天可变限速 控制下高速公路平均速度增加了9.3%,车辆总行驶时间减少了11.7%,相邻路段最大车 速差从17.5 km/h 减小为9.4 km/h,降幅达46.3%,有效地提高雨天环境下高速公路通行效 率和安全性.     

Application of Nonlinear Predictive Control Based on RBF Network Predictive Model in MCFC Plant

This paper described a nonlinear model predictive controller for regulating a molten carbonate fuel cell (MCFC). A detailed mechanism model of output voltage of a MCFC was presented at first. However, this model was too complicated to be used in a control system. Consequently, an off line radial basis function (RBF) network was introduced to build a nonlinear predictive model. And then, the optimal control sequences were obtained by applying golden mean method. The models and controller have been realized in the MATLAB environment. Simulation results indicate the proposed algorithm exhibits satisfying control effect even when the current densities vary largely.     

燃料电池仿真模型与试验验证

介绍燃料电池系统的工作原理和一些燃料电池的仿真模型,并提出了一个基于试验数据的仿真模型,通过系统试验验证,证明这个模型能比较真实地反映燃料电池系统的工作状态。     

燃料电池发动机稳态特性分析工具--FCESPAT

介绍了一种燃料电池发动机稳态特性分析工具——FCESPAT,该软件可以根据试验数据建立极化曲线、辅助功率、氢气消耗量等模型,并对燃料电池发动机稳态特性进行分析。该软件大大简化了试验数据的处理工作,具有很强的实用性。     

面向常发拥堵点的交通信号协调控制方法

针对高峰期间常发拥堵点交通需求过大、周边关联交叉口交通负荷分布不均的问题, 研究了面向常发拥堵点的交通信号协调控制方法。通过对常发拥堵点的车流进行追踪与溯源, 根据交通量关联度确定信号协调控制范围, 然后基于路径的流量分担率与路段平均饱和度识别信号协调控制范围内的关键路径。基于宏观基本图理论, 考虑关键路径对路网运行状态的影响, 构建边界交叉口主动限流控制模型。同时, 利用元胞传输模型描述交叉口与路段的运行状态, 以关键路径通行能力最大化和进口道饱和度均衡化为信号控制优化目标, 建立均衡路网交通负荷的信号控制优化模型。以武汉市发展大道青年路交叉口以及关联交叉口为对象开展仿真实验, 结果表明: 虽然本文方法下的边界交叉口车均延误增加了6.8 s, 但常发拥堵点的车均延误降低了15.7 s; 关键路径的车均延误减少72.6 s, 平均排队长度减少26.1 m。并且, 路网整体的车均延误降低14.7%, 驶出车辆数增加26.6%, 验证了提出方法缓解常发拥堵点交通拥堵的有效性。     

混合动力船舶的能量管理与控制策略

  目的  为提高混合动力船舶的系统稳定性和效率,提出一种基于粒子群优化阈值的多堆燃料电池系统功率分配策略。  方法  针对多堆燃料电池和蓄电池并联构成的混合动力源系统,设计基于粒子群优化算法（PSO）的模糊逻辑能量管理策略。根据推进系统负载功率和蓄电池荷电状态（SOC）,灵活调控燃料电池单体工作组数及其输出功率,并采用PSO来优化系统的控制阈值。  结果  Matlab/Simulink仿真结果表明：该能量管理策略可以迅速满足复杂多变的负载功率需求,从而提高混合动力源的系统效率;相较于传统的能量管理策略,基于模糊逻辑和基于粒子群优化阈值的能量管理策略的氢气消耗量分别下降了18.96%和31.48%。  结论  该智能能量管理策略适用于混合动力船舶多堆燃料电池,可有效提高混合动力源的系统效率并降低氢气消耗量。     

质子交换膜燃料电池系统阳极尾排策略研究

质子交换膜燃料电池(PEMFC)具有发电效率高、运行温度低、启动速度快、结构简单、可靠性高等优点,基于其优点近几年得到了快速的发展.由于工作时水汽渗透作用,导致阳极惰性气体和水的积累,其长时间无法排出将降低电堆的性能以及使用寿命.文章给出了脉冲式尾排策略的优化方向,可以有效排出尾气,提高燃料利用率,从而保证PEMFC的...     

质子交换膜燃料电池系统建模与仿真分析

本文基于Amesim软件建立完整的燃料电池系统模型,包含电堆、空气系统、氢气系统和冷却系统模型,研究系统操作条件变化对系统性能的影响,结果表明,该模型可对空气计量比、电堆空入压力、电堆氢入压力、电堆水入温度等参数进行敏感性分析,并选出了最优系统运行操作条件及其对应的系统功率和效率输出,支持系统开发和操作条件优化。     

A new offline optimization approach for designing a fuel cell hybrid bus

In this study a hydrogen powered fuel cell hybrid bus is optimized in terms of the powertrain components and in terms of the energy management strategy. Firstly the vehicle is optimized aiming to minimize the cost of its powertrain components, in an official driving cycle. The optimization variables in powertrain component design are different models and sizes of fuel cells, of electric motors and controllers, and batteries. After the component design, an energy management strategy (EMS) optimization is performed in the official driving cycle and in two real measured driving cycles, aiming to minimize the fuel consumption. The EMS optimization is based on the control of the battery’s state-of-charge. The real driving cycles are representative of bus driving in urban routes within Lisbon and Oporto Portuguese cities. A real-coded genetic algorithm is developed to perform the optimization, and linked with the vehicle simulation software ADVISOR. The trade-off between cost increase and fuel consumption reduction is discussed in the lifetime of the designed bus and compared to a conventional diesel bus. Although the cost of the optimized hybrid powertrain (62,230 €) achieves 9 times the cost of a conventional diesel bus, the improved efficiency of such powertrain achieved 36% and 34% of lower energy consumption for the real driving cycles, OportoDC and LisbonDC, which can originate savings of around 0.43 €/km and 0.37 €/km respectively. The optimization methodology presented in this work, aside being an offline method, demonstrated great improvements in performance and energy consumption in real driving cycles, and can be a great advantage in the design of a hybrid vehicle.