Experimental Research on the Impact of Lubricating Oils on Engine Friction and Vehicle Fuel Economy

Yi-min, MO; Wang, Junping; Wang, Jun; Dong, Tuo; Zhou, Wenjun

doi:10.2991/ic3me-15.2015.310

Cited by 2 publications

(4 citation statements)

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“…In this study, the improvement of the fuel efficiency of ULV engine oils was calculated from the correlation between the KV100 of 5W-30 to 0W-16 engine oil and the rate of improvement of the fuel efficiency based on the values reported by Mo et al [21], Fujimoto et al [22], Kaneko et al [23], and Liu et al [24], as shown in Figure 4. Compared with conventional 0W-16 engine oil (KV100 6.2 mm 2 /s), the rates of improvement of the vehicle fuel economy of ULV-Mineral and ULV-PAO were estimated to be 0.6 and 1.1%, respectively.…”

Section: Results Of Analysis For Improving the Fuel Efficiencymentioning

confidence: 99%

“…It has been shown that engine torque loss decreases as the viscosity decreases until the kinematic viscosity was 4.2 mm 2 /s at 100 °C (KV100), whereas a decrease of the viscosity below 4.2 mm 2 /s causes an increase in engine torque loss [25]. In this study, the improvement of the fuel efficiency of ULV engine oils was calculated from the correlation between KV100 and fuel efficiency using the results of the above-mentioned literatures [21][22][23][24], as our previous research has demonstrated [26]. A certain correlation has been confirmed with KV100 and high temperature high shear (HTHS) viscosity [27], which has been known to linearly correlate with the fuel economy in NEDC mode [28], and it is reliable to calculate the improvement of the fuel efficiency of ULV engine oils by using KV100.…”

Section: The Methods Of Analyzing the Effect Of Improving Fuel Efficiencymentioning

confidence: 99%

“…Okuyama et al reported that the fuel economy of a 1.3 L gasoline engine in Japanese 10-15 mode was linearly improved as the lubricant's viscosity at 80 • C decreases in the viscosity range 3.8-9.5 mPa•s [20]. Meanwhile, Mo et al reported on the effect of improving fuel efficiency in New European Driving Cycles (NEDC) mode with six types of engine oils from 5W-30 to 0W-20 [21]. Fujimoto et al also reported the results of fuel efficiency using two types of 0W-20 engine oils with different viscosities, and a 0.9% improvement in fuel efficiency in NEDC mode was confirmed by using lower-viscosity 0W-20 engine oil [22].…”

Section: The Methods Of Analyzing the Effect Of Improving Fuel Efficiencymentioning

confidence: 99%

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Reduction of CO2 Emissions and Cost Analysis of Ultra-Low Viscosity Engine Oil

Ishizaki

Nakano

2018

Lubricants

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This study is focused on the reduction of CO2 emissions and costs associated with ultra-low viscosity (ULV) engine oils for passenger vehicles. Specifically, the reduction in life cycle CO2 (LCCO2) emissions from lower-viscosity engine oil and the oil drain interval (ODI) extension were estimated taking into account both mineral engine oil and synthetic engine oil. Furthermore, the cost-effectiveness of ULV engine oils were investigated by performing base-stock cost analysis. When the volatility limit of the Noack test (American Society for testing and materials (ASTM) D5800) was set to 15 wt %, the results indicated that the lower limit of kinematic viscosity at 100 °C (KV100) for mineral engine oil (with Group-III base-stock) and synthetic engine oil (with polyalphaolefin (PAO) base-stock) were approximately 5.3 and 4.5 mm2/s, respectively. Compared to conventional 0W-16 mineral engine oil (KV100 6.2 mm2/s), the effect of reducing LCCO2 emissions on ULV mineral engine oil (ULV-Mineral, KV100 5.3 mm2/s) was estimated at 0.6%, considering 1.5–1.8 L gasoline engines in New European Driving Cycles (NEDC) mode. ULV-Mineral, which continues to use a mineral base-stock, is considered highly cost-effective since its cost is similar to the conventional 0W-16 mineral engine oil. On the other hand, compared with ULV-Mineral, the vehicle fuel efficiency improvement from the use of ULV synthetic engine oil (ULV-PAO, KV100 4.5 mm2/s) was estimated to be 0.5%. However, considering CO2 emissions during engine oil production, the reduction of LCCO2 emission from ULV-PAO compared with ULV-Mineral was estimated to be only 0.1% or less using 2030 standards (assuming a vehicle fuel efficiency of 66.5 g-CO2/km) when ODI is set equivalent (7500 km) to mineral engine oil. As a result, ULV-PAO’s cost-effectiveness, considering the cost increase of PAO base-stock, was found to be nominal. Contrariwise, when the characteristics of PAO base-stock with higher oxidation stability are used comparatively with the mineral base-stock while extending the ODI to 15,000 km, the effect of reducing LCCO2 emissions of ULV-PAO was estimated to be 0.7% in 2030, making ULV-PAO a competitive and cost-effective alternative. In other words, the popularization of synthetic engine oil toward 2030 will require the consideration of both viscosity reduction and ODI extension.

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Section: Results Of Analysis For Improving the Fuel Efficiencymentioning

confidence: 99%

Section: The Methods Of Analyzing the Effect Of Improving Fuel Efficiencymentioning

confidence: 99%

Section: The Methods Of Analyzing the Effect Of Improving Fuel Efficiencymentioning

confidence: 99%

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Reduction of CO2 Emissions and Cost Analysis of Ultra-Low Viscosity Engine Oil

Ishizaki

Nakano

2018

Lubricants

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show abstract

“…In this regard, fuel economy enlightens the automobile efficiency of consumption in petroleum products and is expected to have a substantial impact in reducing adverse environmental effects [14,15]. Additionally, at the individual and firm level, the focus on fuel economy is also likely to create substantial benefits in terms of the expected reduction in vehicle operating costs [16,17]. A critical aspect in the attainment of fuel economy has been considered to evaluate the performance of the factors that influence automobile fuel consumption.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis and Statistical Optimization of Fuel Economy for Sustainable Vehicle Routings

Alsaadi

2021

Sustainability

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In this 21st century, there has been an increase in the usage of renewable products for the economic drifting of vehicle transportations systems. Furthermore, due to recent trends in climate change, researchers have started focusing on statistical optimization techniques for sustainable vehicle routings. However, until now, a major gap has been noticed in the multidomain statistical analysis for optimizing the parametric levels of the vehicle fuel economy. Therefore, in this research work, two widely utilized cars (Toyota and GMC Yukon) are considered on a particular route of Jeddah for the collection of the fuel economy data under the realistic conditions of air conditioner temperature, traffic patterns, and tire pressure. The outcomes of the factorial design of the experiment highlight that the fuel economy is optimal under the low air conditioner temperature, light traffic patterns, and 34 PSI tire pressure. Three replications of the fuel economy have been considered, and the statistical significance of the correlated variables has been justified by implementing the analysis of variance (ANOVA) approach on the various levels of fuel economy. During the analysis, the statistical hypothesis for random exogenous factors has been developed by incorporating a multivariate regression model. The outcomes highlight that both air conditioner temperature and traffic patterns in Jeddah have a significant negative effect on fuel economy. Results also depict that the effect of air conditioner temperature, traffic patterns, and tire pressure is substantially higher for heavy-engine automobiles such as the GMC Yukon compared to light-engine cars (Toyota Corolla). Furthermore, a normality test has also been considered to validate the outcomes of the proposed model. Therefore, it is highly recommended to utilize the proposed methodology in optimizing the trends of fuel economy for sustainable vehicle routings. Based on the findings of multidomain statistical analysis, it is also highly recommended the utilization of the Toyota Corolla car model for investigating the correlation of external undeniable factors (braking frequency, metrological conditions, etc.) with the trends of vehicle fuel economy.

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Experimental Research on the Impact of Lubricating Oils on Engine Friction and Vehicle Fuel Economy

Cited by 2 publications

References 4 publications

Reduction of CO2 Emissions and Cost Analysis of Ultra-Low Viscosity Engine Oil

Reduction of CO2 Emissions and Cost Analysis of Ultra-Low Viscosity Engine Oil

Comparative Analysis and Statistical Optimization of Fuel Economy for Sustainable Vehicle Routings

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