Study of Impact of Engine and Vehicle Level Parameters for Reduction in Engine Oil Consumption for Advanced Emission Architecture Commercial Vehicles

N. Gautam, Tushar Kanikdale, A. Khare, Sachin Paygude, A. A. Shaikh
{"title":"Study of Impact of Engine and Vehicle Level Parameters for Reduction in Engine Oil Consumption for Advanced Emission Architecture Commercial Vehicles","authors":"N. Gautam, Tushar Kanikdale, A. Khare, Sachin Paygude, A. A. Shaikh","doi":"10.37285/AJMT.1.0.3","DOIUrl":null,"url":null,"abstract":"Automotive industry has seen implementation of advanced emission regulations like BS-VI in India along with growing market demand for increased product performance and reduction in total cost of ownership. This has made the engine architecture more intricate leading to complex interaction among engine and vehicle level parameters. This poses technical challenge for achieving critical product attributes like increased power density, higher fluid economy and reduced oil consumption (OC). The current paper focusses on reducing engine oil consumption across diverse duty cycles using simulation tools, vehicle data analytics and test cell Design of Experiments (DOE). The contribution of oil consumption mechanisms viz. oil evaporation, oil throw and oil transport have been understood across different loads and duty cycles patterns. The critical parameters at engine and vehicle levels are identified affecting low load and high load oil consumption. Vehicle testing is conducted, and the real time data analytics was used to identify correlation of vehicle duty cycle parameters like percentageof Idling,Thermal Management Operation, Coolant Temperature, etc. with measured oil consumption. Piston ring dynamics simulation has been used to optimize critical ring parameters impacting oil consumption through directional trends. DOE was conducted in engine test cell environment to assess effect of critical parameters like combustion temperature and oil ring tension for high load oil consumption. The new test cycles for verifying oil consumption at various loads are described. Results of interaction and main effects for individual factors are discussed. The parameters having weaker co-relations are also highlighted. The proposed solution is a combination of piston ring pack geometry features, thermal management calibration strategyand vehicle idling controls. The demonstration of final recipe of solution at vehicle level showed substantial improvement in oil consumption over baseline as well as over global industry benchmark. The improvement is demonstrated in the actual vehicle applications for mining tippers and tractors ","PeriodicalId":294802,"journal":{"name":"ARAI Journal of Mobility Technology","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARAI Journal of Mobility Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37285/AJMT.1.0.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Automotive industry has seen implementation of advanced emission regulations like BS-VI in India along with growing market demand for increased product performance and reduction in total cost of ownership. This has made the engine architecture more intricate leading to complex interaction among engine and vehicle level parameters. This poses technical challenge for achieving critical product attributes like increased power density, higher fluid economy and reduced oil consumption (OC). The current paper focusses on reducing engine oil consumption across diverse duty cycles using simulation tools, vehicle data analytics and test cell Design of Experiments (DOE). The contribution of oil consumption mechanisms viz. oil evaporation, oil throw and oil transport have been understood across different loads and duty cycles patterns. The critical parameters at engine and vehicle levels are identified affecting low load and high load oil consumption. Vehicle testing is conducted, and the real time data analytics was used to identify correlation of vehicle duty cycle parameters like percentageof Idling,Thermal Management Operation, Coolant Temperature, etc. with measured oil consumption. Piston ring dynamics simulation has been used to optimize critical ring parameters impacting oil consumption through directional trends. DOE was conducted in engine test cell environment to assess effect of critical parameters like combustion temperature and oil ring tension for high load oil consumption. The new test cycles for verifying oil consumption at various loads are described. Results of interaction and main effects for individual factors are discussed. The parameters having weaker co-relations are also highlighted. The proposed solution is a combination of piston ring pack geometry features, thermal management calibration strategyand vehicle idling controls. The demonstration of final recipe of solution at vehicle level showed substantial improvement in oil consumption over baseline as well as over global industry benchmark. The improvement is demonstrated in the actual vehicle applications for mining tippers and tractors 
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
先进排放架构商用车发动机及车体液位参数对降低机油消耗的影响研究
随着市场对提高产品性能和降低总拥有成本的需求不断增长,汽车行业已经实施了先进的排放法规,如印度的BS-VI。这使得发动机结构更加复杂,导致发动机与整车级参数之间的复杂交互。这对实现关键产品属性(如提高功率密度、提高流体经济性和降低油耗)提出了技术挑战。目前的研究重点是使用仿真工具、车辆数据分析和实验设计测试单元(DOE)来降低不同占空比下的发动机机油消耗。在不同的负荷和占空比模式下,已经了解了油消耗机制的贡献,即油蒸发、油抛射和油运输。确定了影响低负荷和高负荷油耗的发动机和车辆水平的关键参数。进行整车测试,通过实时数据分析,识别空转百分比、热管理操作、冷却液温度等车辆占空比参数与实测油耗的相关性。利用活塞环动力学仿真,通过方向趋势优化影响油耗的关键环参数。在发动机试验单元环境下进行DOE试验,评估燃烧温度、油环张力等关键参数对高负荷油耗的影响。介绍了在不同负荷下验证油耗的新试验循环。讨论了各因素的相互作用结果和主要影响。同时强调了具有较弱相关性的参数。提出的解决方案结合了活塞环包的几何特征、热管理校准策略和车辆怠速控制。整车级解决方案最终配方的演示表明,在基准和全球行业基准的基础上,油耗有了实质性的改善。这种改进在采矿自卸车和拖拉机的实际车辆应用中得到了证明
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Comparative Performance Assessment of Sizing of Electric Motor through Analytical Approach for Electric Vehicle Application Study on Various Position Sensing Technologies in Tractor Hitch Application Algorithm based Calibration Strategies in an Electric Powertrain Impact of Fused Deposition Modeling Process Parameters and Heat Treatment on Mechanical Characteristics and Product Quality: A Review Experimental Assessment of Genset Performance for PCCI-DI Combustion Engine
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1