Experimentally Compared Fuel Consumption Modelling of Refuse Collecting Vehicles for Energy Optimization Purposes

Soriano, Francisco; Alvarez-Florez, Jesus; Moreno-Eguilaz, Manuel

doi:10.4271/2014-01-9023

Cited by 7 publications

(30 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additional details about this technology can be found in (Soriano et al 2014). The chosen drive cycles are also the same as those used in the first part of this paper.…”

Section: Data Logging Kit Post-processing Method and Chosen Drive Cmentioning

confidence: 99%

“…Third, an artificial intelligence system, which estimates in which driving mode the powertrain is operating, is presented, despite the fact that it is not developed in the present work but in a previous one (Soriano et al 2014).…”

Section: *Corresponding Author E-mail: Fsoriano@rosrocacommentioning

confidence: 99%

“…This work is part of a more ambitious research project whose fundamentals have already been published (Soriano et al 2014). As the final goal of the project is to build a prototype, the characteristics of each component are selected to be representative of a real component and be suitable for a real vehicle.…”

Section: *Corresponding Author E-mail: Fsoriano@rosrocacommentioning

confidence: 99%

“…With the data logging kit mentioned in chapter 2, a significant number of real drive cycles have been logged, and using the techniques proposed in (Soriano et al 2014), the useful power has been estimated. As a result, two vectors (RPM and Power) containing samples at 0.1Hz during the whole collecting work (from about 7 to 8 hours) have been generated daily in 15 days.…”

Section: Calculation Enginementioning

confidence: 99%

“…The method for sizing the different ele on the concept that an RCV repeats daily (Soriano et al 2014). According to this principle, the first four drive cycles (1 to 4) will be used to size the elements, while drive cycles 5 to 15 will be used to validate the component sizing.…”

Section: Component Sizingmentioning

confidence: 99%

See 4 more Smart Citations

Topological analysis of powertrains for refuse-collecting vehicles based on real routes–Part II: Hybrid electric powertrain

Soriano¹,

Moreno-Eguilaz

Álvarez

et al. 2016

Int.J Automot. Technol.

View full text Add to dashboard Cite

ABSTRACT-In this two-part paper, a topological analysis of powertrains for refuse-collecting vehicles (RCVs) based on simulation of different architectures (internal combustion engine, hybrid electric, and hybrid hydraulic) on real routes is proposed. In this second part, three different hybrid electric powertrain architectures are proposed and modeled. These architectures are based on the use of fuel cells, ultracapacitors, and batteries. A calculation engine, which is specifically designed to estimate energy consumption, respecting the original performance as the original internal combustion engine (ICE), is presented and used for simulations and component sizing. Finally, the overall performance of the different architectures (hybrid hydraulic, taken from the first paper part, and hybrid electric, estimated in this second part) and control strategies are summarized in a fuel and energy consumption table. Based on this table, an analysis of the different architecture performance results is carried out. From this analysis, a technological evolution of these vehicles in the medium-and long terms is proposed.

show abstract

“…Additional details about this technology can be found in (Soriano et al 2014). The chosen drive cycles are also the same as those used in the first part of this paper.…”

Section: Data Logging Kit Post-processing Method and Chosen Drive Cmentioning

confidence: 99%

Section: *Corresponding Author E-mail: Fsoriano@rosrocacommentioning

confidence: 99%

Section: *Corresponding Author E-mail: Fsoriano@rosrocacommentioning

confidence: 99%

Section: Calculation Enginementioning

confidence: 99%

Section: Component Sizingmentioning

confidence: 99%

See 3 more Smart Citations

Topological analysis of powertrains for refuse-collecting vehicles based on real routes–Part II: Hybrid electric powertrain

Soriano¹,

Moreno-Eguilaz

Álvarez

et al. 2016

Int.J Automot. Technol.

View full text Add to dashboard Cite

show abstract

Topological analysis of powertrains for refuse-collecting vehicles based on real routes–Part I: Hybrid hydraulic powertrain

Soriano¹,

Moreno-Eguilaz²,

Álvarez³

et al. 2016

Int.J Automot. Technol.

View full text Add to dashboard Cite

ABSTRACT− In this two-part paper, a topological analysis of powertrains for refuse-collecting vehicles (RCVs) based on the simulation of different architectures (internal combustion engine, hybrid electric, and hybrid hydraulic) on real routes is proposed. In this first part, a characterization of a standard route is performed, analyzing the average power consumption and the most frequent working points of an internal combustion engine (ICE) in real routes. This information is used to define alternative powertrain architectures. A hybrid hydraulic powertrain architecture is proposed and modelled. The proposed powertrain model is executed using two different control algorithms, with and without predictive strategies, with data obtained from real routes. A calculation engine (an algorithm which runs the vehicle models on real routes), is presented and used for simulations. This calculation engine has been specifically designed to analyze if the different alternative powertrain delivers the same performance of the original ICE. Finally, the overall performance of the different architectures and control strategies are summarized into a fuel and energy consumption table, which will be used in the second part of this paper to compare with the different architectures based on hybrid electric powertrain. The overall performance of the different architectures indicates that the use of a hybrid hydraulic powertrain with simple control laws can reduce the fuel consumption up to a 14%.

show abstract

Estimation of fuel consumption in a hybrid electric refuse collector vehicle using a real drive cycle

Cortez¹,

Moreno-Eguilaz²,

Soriano³

et al. 2016

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

Self Cite

View full text Add to dashboard Cite

Abstract-This paper presents a new methodology to estimate the fuel economy in a hybrid electric refuse collector vehicle (RCV). This methodology is based on determinating the fuel consumption in a conventional RCV using real routes, through a quasi-static model that incorporates a mathematical modeling of each component of the powertrain, including the longitudinal dynamic of the conventional RCV. Moreover, a classification of different operational modes of a conventional RCV using real routes is proposed to determinate the required energy that must be provided by the hybrid electric counterpart. The optimal sizing of the energy storage system for the hybrid electric powertrain is presented in order to estimate the fuel consumption by using a real route. The error in the estimation of fuel consumption in a conventional RCV is less than 1.5% in the worst case scenario. The energy storage system sizing allows a 8.62% reduction in the hybrid electric refuse collector vehicle's fuel consumption, by considering 10% of hybridization.

show abstract

Experimentally Compared Fuel Consumption Modelling of Refuse Collecting Vehicles for Energy Optimization Purposes

Cited by 7 publications

References 9 publications

Topological analysis of powertrains for refuse-collecting vehicles based on real routes–Part II: Hybrid electric powertrain

Topological analysis of powertrains for refuse-collecting vehicles based on real routes–Part II: Hybrid electric powertrain

Topological analysis of powertrains for refuse-collecting vehicles based on real routes–Part I: Hybrid hydraulic powertrain

Estimation of fuel consumption in a hybrid electric refuse collector vehicle using a real drive cycle

Contact Info

Product

Resources

About