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基于驾驶模拟实验的生态驾驶行为节能减排潜力
  • ISSN号:0254-0037
  • 期刊名称:《北京工业大学学报》
  • 时间:0
  • 分类:U471.23[机械工程—车辆工程;交通运输工程—载运工具运用工程;交通运输工程—道路与铁道工程]
  • 作者机构:[1]北京工业大学城市交通学院,北京100124, [2]北京市交通行业节能减排中心,北京100073
  • 相关基金:国家自然科学基金资助项目(51108011)
中文摘要:

针对生态驾驶行为在中国节能减排潜力尚不明确的问题,研究基于驾驶模拟实验平台,选取22名驾驶人进行生态驾驶行为培训和驾驶模拟实验测试,通过对比分析生态驾驶行为培训前和培训后的车辆能耗排放改善情况,确定生态驾驶行为的节能减排潜力.研究结果表明:生态驾驶行为节约汽车燃油消耗的潜力可达3.43%~5.45%;对应不同尾气排放物(CO2、CO、HC和NOx),生态驾驶行为的减排潜力可达3.39%~26.15%.随着培训强度的增加,生态驾驶行为所体现出的节能减排效益也相应增大.另外,职业和非职业司机驾驶行为节能减排潜力存在明显差异.

英文摘要:

Eco-driving has been proven to have a great potentialin reducing vehicle fuel consumption and greenhouse gas emissions in many developed countries, however, this potential in China might be different due to different vehicle technologies, driving groups and driving habits. In China, eco-driving was just introduced in recent years and the potentialin energy saving and emissions reduction of this fuel-efficient driving concept is not clear. Based on a driving simulator, the amount of fuel consumption and emissions before and after eco-driving training of 22 recruited drivers was calculated and compared. The training has two different levels, from receiving only staticinformation ( education) to guided practicing of eco-driving rules ( coaching) . Results show that the potential of eco-drivingin saving fuel consumptionis 3. 43%-5. 45%, and the potential of eco-driving on emissions reduction is 3. 39%-26. 15%, corresponding to different emission indexes. The benefits of eco-driving will be enlarged as the level of training reinforced. Additionally, the potential of fuel consumption saving and emissions reduction after eco-driving training is different between professional and non-professional drivers.

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期刊信息
  • 《北京工业大学学报》
  • 中国科技核心期刊
  • 主管单位:北京市教委
  • 主办单位:北京工业大学
  • 主编:卢振洋
  • 地址:北京市朝阳区平乐园100号
  • 邮编:100124
  • 邮箱:xuebao@bjut.edu.cn
  • 电话:010-67392535
  • 国际标准刊号:ISSN:0254-0037
  • 国内统一刊号:ISSN:11-2286/T
  • 邮发代号:2-86
  • 获奖情况:
  • 中国高等学校自然科学学报优秀学报二等奖,北京市优秀期刊,华北5省市优秀期刊,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),美国数学评论(网络版),德国数学文摘,荷兰文摘与引文数据库,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:11924