兰州市五人制足球运动开展现状调查分析

本文运用文献资料法、专家访谈法、问卷调查法、数理统计法对兰州市五人制足球运动的开展规模、教练员情况、场地设施、社会参与人群状况等问题进行调查分析,提出了针对性建议,旨在为进一步推动兰州市五人制足球的健康快速发展,同时促进兰州市足球运动的普及与提高尽一份力。     

Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas

In today’s world of volatile fuel prices and climate concerns, there is little study on the relationship between vehicle ownership patterns and attitudes toward vehicle cost (including fuel prices and feebates) and vehicle technologies. This work provides new data on ownership decisions and owner preferences under various scenarios, coupled with calibrated models to microsimulate Austin’s personal-fleet evolution.Opinion survey results suggest that most Austinites (63%, population-corrected share) support a feebate policy to favor more fuel efficient vehicles. Top purchase criteria are price, type/class, and fuel economy. Most (56%) respondents also indicated that they would consider purchasing a Plug-in Hybrid Electric Vehicle (PHEV) if it were to cost $6000 more than its conventional, gasoline-powered counterpart. And many respond strongly to signals on the external (health and climate) costs of a vehicle’s emissions, more strongly than they respond to information on fuel cost savings.Twenty five-year simulations of Austin’s household vehicle fleet suggest that, under all scenarios modeled, Austin’s vehicle usage levels (measured in total vehicle miles traveled or VMT) are predicted to increase overall, along with average vehicle ownership levels (both per household and per capita). Under a feebate, HEVs, PHEVs and Smart Cars are estimated to represent 25% of the fleet’s VMT by simulation year 25; this scenario is predicted to raise total regional VMT slightly (just 2.32%, by simulation year 25), relative to the trend scenario, while reducing CO₂ emissions only slightly (by 5.62%, relative to trend). Doubling the trend-case gas price to $5/gallon is simulated to reduce the year-25 vehicle use levels by 24% and CO₂ emissions by 30% (relative to trend).Two- and three-vehicle households are simulated to be the highest adopters of HEVs and PHEVs across all scenarios. The combined share of vans, pickup trucks, sport utility vehicles (SUVs), and cross-over utility vehicles (CUVs) is lowest under the feebate scenario, at 35% (versus 47% in Austin’s current household fleet). Feebate-policy receipts are forecasted to exceed rebates in each simulation year.In the longer term, gas price dynamics, tax incentives, feebates and purchase prices along with new technologies, government-industry partnerships, and more accurate information on range and recharging times (which increase customer confidence in EV technologies) should have added effects on energy dependence and greenhouse gas emissions.     

中频电源逆变换相失败保护的研究

分析了并联逆变型晶闸管中频电源产生换相失败的原因,提出老换相失败保护新措施,经过实验和实践结果表明,新措施对各种原因产生的换相失败均有保护作用,且简单实用、效果良好。     

基于卡尔曼滤波的4WD电动车辆寄生功率的测量技术

根据串励直流电动机工作特性,利用车辆行驶过程中较易测得的驱动电机工作电流及驱动轮转速,运用MATLAB/SIMULINK软件,建立基于卡尔曼滤波的驱动轮滑转率模型和寄生功率模型并进行仿真;通过道路试验对电动机工作电流和驱动轮转速的检测,实时预测驱动轮的滑转率与产生的寄生功率。结果表明,驱动轮滑转率和寄生功率的仿真结果与试验结果非常接近。     

电动汽车驱动电机选配方法

介绍了电动汽车用电机的基本性能,并从汽车行驶动力学出发建立了纯电动汽车用电动机性能参数的数学模型,探讨总结了对电机基本特性参数的初步确定原则。然后以目前所要开发的一辆纯电动汽车的基本参数及目标性能要求为例,按以上原则确定出电机参数并绘制符合要求的电机性能曲线,为电机的快速选择和后续车辆动力传动系统匹配优化提供了依据。     

汽车主动悬架与电动助力转向系统自适应模糊集成控制

建立了包含转向运动模型、俯仰运动模型和侧倾运动模型的汽车整车模型,在设计了电动助力转向系统PD控制的基础上,构建了基于自适应模糊控制的汽车主动悬架与电动助力转向系统集成控制器,当控制系统偏差变小或变大时,调整因子总能保证系统稳定,便于工程应用。计算结果表明,该自适应模糊集成控制策略,既保证了车辆操纵轻便性,又显著提高了整车操纵稳定性、安全性和行驶平顺性等整车综合性能。     

电动汽车复合驱动系统

电动汽车的复合驱动系统包括内燃机驱动和电力驱动，它综合了这两种驱动方式的优点。介绍了电动汽车的各种复合驱动结构，分析讨论了这些结构的优缺点，阐述了选择串联还是并联复合驱动结构时应考虑了主要问题，并给了一个单轴复合驱动结构的实例。     

SF32601型自卸车电传动非线性PI控制系统

介绍课题组研制的拥有自主知识产权的SF32601型电动轮自卸车电传动微机控制系统,设计了系统的软硬件结构,开发了基于高性能DSP芯片TMS320F2812与非线性PI控制策略的样机。样机测试结果表明本系统抗干扰能力强、控制精度好、集成度高、性能稳定。     

电动微型客车的机电复合制动稳定性分析

建立电动微型客车机电复合制动的数学模型,并通过实例仿真分析不同驱动形式的机电复合制动稳定性。     

电动助力转向系统的回正与主动阻尼控制策略研究

针对配备电动助力转向系统的车辆低速时回正性差,而中高速时又容易出现回正超调的现象,提出了一种新型的回正与主动阻尼控制策略。该控制策略以功能原理为理论基础,可以随车速和转向盘转角的不同而调整回正力矩或阻尼力矩的大小。实车试验的结果证明,该控制策略能够改善车辆低速时的回正性,抑制车辆中高速时的回正超调现象,并且在施加了回正与主动阻尼控制后,驾驶员的操纵手感没有受到不良的影响。