Analysis of a Fictive Active e-Trailer

拖车 汽车工程 卡车 燃料效率 能源消耗 工程类 环境科学 电气工程
作者
Steven Boonstra,Frank Rieck
出处
期刊:World Electric Vehicle Journal [Multidisciplinary Digital Publishing Institute]
卷期号:9 (1): 6-6 被引量:4
标识
DOI:10.3390/wevj9010006
摘要

Trucks consume an enormous amount of diesel annually and contribute significantly to the total CO2 emissions around the world. Electrification of these freight vehicles would lead to a reduction in fuel consumption and CO2 emissions. Trailers, as part of heavy freight vehicles, are a great opportunity for innovative change. Electrifying the trailer would allow the combustion engine of the truck to cooperate with the electric motors in the trailer. The trailer would be able to regenerate energy using the electric motors built into the rear axis of the trailer. The energy that is regenerated could be stored in a battery power pack for later use. Using the principle of peak shaving, the combustion engine would be assisted by the active e-trailer. Peak shaving would occur when the calculated load on the combustion engine is highly above average, for example, during acceleration, climbing a hill, or during high speed. Energy from the power pack could be routed to the electric motors, adding propulsive force. This analysis of a fictive active e-trailer has focused on reducing fuel consumption and emissions. The energy consumption of the trailer and the energy regeneration were studied. For this analysis, two vehicle configurations were simulated within the MATLAB Simulink: one truck–trailer combination without the e-trailer application and one truck–trailer combination with the e-trailer application. Differences between the two simulated vehicle combinations have been analyzed and documented. The whole system would be self-sustaining by using the regenerating energy from braking and adjusting its assisting function according to the energy level of the power pack. However, better results would be achieved by charging the power pack periodically. By doing so, the reduction of fuel cost and emissions could be significantly improved.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
过时的新烟完成签到 ,获得积分10
1秒前
Li发布了新的文献求助10
1秒前
科研通AI6.2应助111采纳,获得10
2秒前
djj完成签到,获得积分10
2秒前
ldz完成签到,获得积分10
3秒前
1056720198完成签到 ,获得积分10
3秒前
3秒前
4秒前
xiao发布了新的文献求助10
4秒前
FJHG发布了新的文献求助10
4秒前
领导范儿应助比迪奇采纳,获得10
4秒前
Jasper应助xiaohu采纳,获得10
5秒前
Jasper应助timw采纳,获得10
5秒前
6秒前
欢呼磬完成签到,获得积分10
6秒前
6秒前
星辰大海应助不吃橘子采纳,获得10
6秒前
6秒前
胡胡发布了新的文献求助10
6秒前
粗心的薯片应助taipingyang采纳,获得10
6秒前
英姑应助Loewang采纳,获得10
6秒前
汉堡包应助Electrocatalysis采纳,获得10
7秒前
li完成签到,获得积分10
7秒前
田様应助唐唐的猫咪采纳,获得10
9秒前
菌酱完成签到,获得积分10
10秒前
11秒前
如意连碧完成签到,获得积分10
11秒前
12秒前
科研通AI6.2应助白米饭采纳,获得10
12秒前
li发布了新的文献求助10
13秒前
布鲁爱思完成签到,获得积分10
15秒前
秋风应助莹莹啊采纳,获得10
15秒前
15秒前
Flicker完成签到 ,获得积分10
16秒前
心灵美的青枫完成签到,获得积分10
16秒前
yundou完成签到 ,获得积分10
16秒前
16秒前
Ava应助难过的耳机采纳,获得20
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7781897
求助须知:如何正确求助?哪些是违规求助? 9321610
关于积分的说明 20383707
捐赠科研通 7369875
什么是DOI,文献DOI怎么找? 3320174
关于科研通互助平台的介绍 2468018
邀请新用户注册赠送积分活动 2336117