节能减排环保背景下的船用双燃料柴油机发展研究

船用天然气/柴油双燃料柴油机是一种具有良好发展前景的节能减排环保船用动力设备。从船用双燃料柴油机发展的时代背景,发展趋势及天然气燃料的优势,包括国内外船用柴油机发展趋势、船用双燃料柴油机的发展前景、船用天然气燃料的优势;船用双燃料柴油机及其子系统研究;船用双燃料柴油机的国内发展现状等方面,对节能减排环保背景下的船用双燃料柴油机发展进行了研究。     

城市道路照明节能措施探讨

针对道路照明节能措施进行了探讨.笔者根据多年的工作经验对道路照明节能措施、途径提出了自己的观点,包括照明标准的确定,光源、灯具的选择,道路照明的控制与管理方案,如何控制间接能耗等.     

新能源汽车高压连接器可靠性研究

近几年,随着国家倡导绿色发展,新能源汽车产业发展迅速,我国新能源汽车保有量的快速增长,新能源汽车安全问题愈发得到人们的重视。要保证汽车在任何环境和条件下都能正常运行,这对汽车所有零部件的质量和性能提出了更高的要求,新能源汽车高压连接系统中,往往都应用大量了高压连接器,每一辆新能源电动汽车上所使用电连接器数量将达到600~1500只,故连接器对整个新能源汽车的质量保证起着举足轻重的作用。连接器一旦失效,后果十分严重,汽车温度局部升高或发生燃烧事件,甚至出现交通意外。本文从新能源汽车用的高压连接器发展现状及趋势基础上,对高压连接器的失效分析和性能指标做了概述,为后续研究提供理论基础。     

PHEV能量管理策略研究

针对一款串联型插电式混合动力公交车,文章基于MTLALB建立整车和各部件数值模型。在中国典型城市公交工况下,建立基于全局优化的DP策略,并与CD-CS策略和PMP策略进行能耗对比分析。结果表明:(1)基于CD-CS策略的后期SOC在一定范围内波动,DP策略与PMP策略的SOC轨迹近似呈线性变化。(2)CD-CS策略较DP策略的能耗成本高22.68%,PMP策略比DP策略的能耗成本高0.30%。DP策略与PMP策略可以合理分配能量源,实现全局最优,但DP策略相比PMP策略计算量大。     

燃料电池船舶复合供能系统控制策略设计与仿真

针对燃料电池船舶复合供能系统中的燃料电池功率波动问题和储能单元电池荷电状态（State of Charge,SOC）极端分化问题,依据系统拓扑结构,提出基于负载功率频率分解与模糊逻辑控制法相结合的复合供能系统控制策略设计。采用实例仿真验证该设计的优势。结果表明,该设计可有效保持燃料电池输出功率平滑,对储能单元SOC具有良好的均衡控制效果。     

铁路隧道下穿既有公路地层变形特性研究

文章结合张唐铁路工程燕山隧道下穿公路出口段,采用三维有限差分程序,研究分析了其施工过程中的地层变形特性、力学响应、能量积聚及塑性区分布特征.研究结果表明:公路最大沉降量小于规范要求,围岩竖向最大变形为20 mm,水平变形为16 mm;掌子面前方挤出变形明显,最大值为38 mm;边墙能量密度集中现象较显著,位于距洞壁5 m深部围岩处;掌子面前方6 m左右围岩处出现能量积聚,为掌子面稳定关键部位:塑性区主要集中在掌子面前方、拱肩、边墙及墙脚.为此,建议对掌子面进行预加固,保证墙脚和拱肩部位配筋,提高结构整体稳定性.     

A new time-frequency analysis method based on single mode function decomposition for offshore wind turbines

The Hilbert-Huang transform (HHT) has been widely applied and recognised as a powerful time-frequency analysis method for nonlinear and non-stationary signals in numerous engineering fields. One of its major challenges is that the HHT is frequently subject to mode mixing in the processing of practical signals such as those of offshore wind turbines, as the frequencies of offshore wind turbines are typically close and contaminated by noise. To address this issue, this paper proposes a new time-frequency analysis method based on single mode function (SMF) decomposition to overcome the mode mixing problem in the structural health monitoring (SHM) of offshore wind turbines. In this approach, the structural vibration signal is first decomposed into a set of window components using complex exponential decomposition. A state-space model is introduced in the signal decomposition to improve the numerical stability of the decomposition, and then a novel window-alignment strategy, named energy gridding, is proposed and the signals are constructed in the corresponding gridding. Furthermore, energy recollection is implemented in each gridding, and the reassembling of these components yields an SMF that is comparable to the intrinsic mode function (IMF) of the HHT, but with a significant improvement in terms of mode mixing. Four case studies are conducted to evaluate the performance of the proposed method. The first case attempts to detect three different frequencies in a simulated time-invariant signal. The second case attempts to test a synthesised signal with segmental time-varying frequencies (each segment contains three different frequencies components). The analysis results in these two cases indicate that mode mixing can be reduced by the proposed method. Furthermore, a synthesised signal with slowly varying frequencies is used. These analysis results demonstrate the effective suppression of non-relevant frequency components using SMF decomposition. In the third case, the experimental data from vortex-induced vibration (VIV) experiments sponsored by the Norwegian Deepwater Programme (NDP) are used to evaluate the proposed SMF decomposition for vibration mode identification. In the final case, field data acquired from an offshore wind turbine foundation and offshore wind turbine are analysed. The mode identification results obtained using SMF decomposition are compared with those produced by the HHT. The comparison demonstrates superior performance of the proposed method in identifying the vibration modes of the VIV experimental and field data.     

Development a new power management strategy for power split hybrid electric vehicles

Reduction of greenhouse gas emission and fuel consumption as one of the main goals of automotive industry leading to the development hybrid vehicles. The objective of this paper is to investigate the energy management system and control strategies effect on fuel consumption, air pollution and performance of hybrid vehicles in various driving cycles. In order to simulate the hybrid vehicle, the combined feedback–feedforward architecture of the power-split hybrid electric vehicle based on Toyota Prius configuration is modeled, together with necessary dynamic features of subsystem or components in ADVISOR. Multi input fuzzy logic controller developed for energy management controller to improve the fuel economy of a power-split hybrid electric vehicle with contrast to conventional Toyota Prius Hybrid rule-based controller. Then, effects of battery’s initial state of charge, driving cycles and road grade investigated on hybrid vehicle performance to evaluate fuel consumption and pollution emissions. The simulation results represent the effectiveness and applicability of the proposed control strategy. Also, results indicate that proposed controller is reduced fuel consumption in real and modal driving cycles about 21% and 6% respectively.     

地铁信号系统节能仿真平台的设计与实现

从信号系统角度研究节能应用,搭建了一套完整的地铁信号系统节能仿真平台,实现在线列车能耗计算和统计,为优化信号系统的节能方案提供依据。为了保证仿真数据的准确性,且具有较强的针对性,该仿真平台采集了某一具体线路、车型、供电区段的数据,并通过现场试验校正仿真数据,以使该仿真平台的输出结果具有较高的可信度。     

Comparative evaluation of resource cycle strategies on operating and environmental impact in container terminals

This paper examines the use of single and dual cycle operations for three types of resources, namely, quay cranes, vehicles, and yard cranes to improve the operating efficiency and reduce the energy consumption in a container terminal. Various cycle strategies are proposed and their corresponding estimation models, describing the stowage distributions of outbound and inbound containers on a ship and the storage sharing level of blocks in the yard, are formulated to estimate the total number of cycles for the resources. Statistical analyses are conducted to evaluate and compare the effect of different cycle strategies on the cycle reductions. From the experiment results, it was found that collaboration between resources with the single cycle operation always outperforms that under the dual cycle operation without collaboration.