Effect of tire slip losses on the energy demand and fuel consumption of a light-duty vehicle

Abstract

The contribution of the tire-road slip of traction wheels to the total resistance opposing the motion of a light-duty commercial vehicle has been investigated through the simulation of several homologation and custom driving cycles. The calculation of the contribution of the tire slip losses was based on the estimation of the longitudinal tire slip, by means of Pacejka’s MF5.2 tire model. In this work, the computational steps required to evaluate this contribution were implemented in a previously developed fuel consumption simulation tool. Simulations were performed under several vehicle loading conditions and tire inflation pressures on traction and non-traction wheels, and considering different tire-road adherence conditions, in order to obtain a characterization of the tire slip losses over a wide range of working conditions. An analysis of the results shows that, although the contribution of tire slip losses to the total vehicle energy demand and fuel consumption may be relevant – especially under low-load, low adherence conditions – the sensitivity of the average on-cycle vehicle energy/fuel consumption to changes in the tire inflation pressure is only affected slightly by tire slip losses. Therefore, tire slip losses can be neglected in practice, when the aim of a simulation is to optimize the tire pressure to achieve average vehicle working conditions over a driving cycle.

Keywords

Slip losses rolling resistance effect of tire inflation pressure vehicle fuel consumption vehicle energy demand

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References

Pelkmans

Debal

Hood

, et al. Development of a simulation tool to calculate fuel consumption and emissions of vehicles operating in dynamic conditions. SAE paper 2004-01-1873, 2004.

Fontaras

Rexeis

Dilara

, et al. The development of a simulation tool for monitoring heavy-duty vehicle CO₂ emissions and fuel consumption in Europe. SAE paper 2013-24-0150, 2013.

Piu

Galliera

Petrolo

, et al. Fiat group methods for fuel consumption: SW PerFECTS. In: 11th Stuttgard international symposium on automotive and engine technology, Stuttgard, Germany, 22–23 February 2011. Wiesbaden, Germany: ATZlive.

Giakoumis

Alafouzos

AI.

Study of diesel engine performance and emissions during a Transient Cycle applying an engine mapping-based methodology. Appl Energy 2010; 87: 1358–1365.

Park

Lee

, et al. Modeling effects of vehicle specifications on fuel economy based on engine fuel consumption map and vehicle dynamics. Transp Res D Transp Environ 2014; 32: 287–302.

Daw

Gao

Smith

, et al. Simulated fuel economy and emissions performance during city and interstate driving for a heavy-duty hybrid truck. SAE Int J Commer Veh 2013; 6(1): 161–182.

Gao

Conklin

Daw

, et al. A proposed methodology for estimating transient engine-out temperature and emissions from steady-state maps. Int J Engine Res 2010; 11: 137–151.

Wang

Kelly

Walkowicz

, et al. Quantitative effects of vehicle parameters on fuel consumption for heavy-duty vehicle. SAE paper 2015-01-2773, 2015.

ISO 18164:2005. Passenger car, truck, bus and motorcycle tyres – methods of measuring rolling resistance.

10.

SAE Reccommended Practice. Road load measurement using onboard anemometry and coastdown techniques, SAE Standard J2263, Rev, 2008.

11.

d’Ambrosio

Vitolo

Potential impact of active tire pressure management on fuel consumption reduction in passenger vehicles. Proc IMechE, Part D: J Automobile Engineering 2019; 233(4): 961–975.

12.

d’Ambrosio

Mameli

Vitolo

, et al. Fuel consumption reduction on heavy-duty and light-duty commercial vehicles by means of advanced central tire inflation systems. SAE Int J Commer Veh 2018; 11(5): 267–289.

13.

Sina

Nasiri

Karkhaneh

Effects of resistive loads and tire inflation pressure on tire power losses and CO₂ emissions in real-world conditions. Appl Energy 2015; 157: 974–983.

14.

Sina

Hairi Yazdi

Esfahanian

A novel method to improve vehicle energy efficiency: minimization of tire power loss. Proc IMechE, Part D: J Automobile Engineering 2020; 234(4): 1153–1166.

15.

d’Ambrosio

Vitolo

Salamone

, et al. Active tire pressure control (ATPC) for passenger cars: design, performance, and analysis of the potential fuel economy improvement. SAE Int J Passenger Cars Mech Syst 2018; 11(5): 321–339.

16.

Pacejka

HB.

Tyre and vehicle dynamics. Oxford: Butterworth-Heinemann, 2002.

17.

Besselink

Schmeitz

Pacejka

HB.

An improved magic formula/swift tyre model that can handle inflation pressure changes. Veh Syst Dyn 2010; 48(sup1): 337–352.

18.

Genta

Morello

The automotive chassis. Volume 1: components design. Berlin: Mechanical Engineering Series, Springer, 2009.

19.

Ecopoint DieselNet. Worldwide Harmonized Light Vehicles Test Cycle (WLTC), https://dieselnet.com/standards/cycles/wltp.php (2019, accessed 21 April 2020).

20.

UNECE. Global Technical Regulations (GTRs). ACCESS gearshift calculation tool for UN GTR 15, https://unece.org/transport/documents/2021/01/working-documents/access-gearshift-calculation-tool-un-gtr-15 (2020, accessed 21 April 2020).

21.

d’Ambrosio

De Mattei

Vitolo

, et al. Automatic adjustment of tire inflation pressure through an intelligent CTIS: effects on the vehicle lateral dynamic behavior. Proc IMechE, Part D: J Automobile Engineering 2021; 235(14): 3487–3508.

22.

Vitolo

d’Ambrosio

De Mattei

Apparatus and method for computing tire pressures. Italian Patent application 102017000128722. 2017.