Study of emissions and fuel economy for parallel hybrid versus conventional vehicles on real world and standard driving cycles

Al-Samari, Ahmed

doi:10.1016/j.aej.2017.04.010

Cited by 48 publications

(25 citation statements)

References 9 publications

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“…Fontaras et al found that HEVs could save energy consumption and reduce vehicle emissions by up to 60% under urban driving conditions compared to ICEVs [14]. Al-Samari investigated the energy efficiency benefits of using HEVs in comparison to conventional vehicles using Autonomie and found that the fuel economy could be improved significantly (up to 68%) in a real-world driving cycle consisting of mostly city activity and up to 10% highway driving [15]. Oak Ridge National Laboratory researchers quantified the effects of aggressive driving with HEVs and the limitation of regenerative braking for HEVs.…”

Section: Literature Reviewmentioning

confidence: 99%

A Simple Hybrid Electric Vehicle Fuel Consumption Model for Transportation Applications

Ahn¹,

Rakha²

2020

Applied Electromechanical Devices and Machines for Electric Mobility Solutions

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This study presents a simple power-based microscopic hybrid electric vehicle (HEV) fuel consumption model for use in microscopic traffic software and various connected and automated vehicle (CAV) applications, including eco-routing and eco-drive systems. While numerous HEV energy consumption models have been developed, these models are complex and require vehicle engine data deeming them difficult to implement and making them nontransferable. The proposed model was developed using empirical data for a 2010 Toyota Prius-the most popular HEV. The model was then extended to other HEVs thus extending the domain of application of the model. The proposed fuel consumption model estimates the instantaneous fuel consumption rates of an HEV using instantaneous vehicle operational input variables, including the vehicle's speed, acceleration, and roadway grade, which can be acquired from global positioning system (GPS) equipment or other sensors. The model estimates vehicle fuel consumption rates consistent with empirical data producing an average error of 2.1% for the Toyota Prius and up to 4% for other HEVs demonstrating the applicability and transferability of the model to various HEVs.

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Section: Literature Reviewmentioning

confidence: 99%

A Simple Hybrid Electric Vehicle Fuel Consumption Model for Transportation Applications

Ahn¹,

Rakha²

2020

Applied Electromechanical Devices and Machines for Electric Mobility Solutions

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“…Some studies also implemented a more complex rolling-resistance term by introducing C roll , C 1 , C 2 , and normal force action on the tires. They also neglected mass factor inertia and the wind-speed effect [4,21,22]. The driving-power estimation equation is expressed as Equation (3):…”

Section: Introductionmentioning

confidence: 99%

“…Table 1. Driving-power estimation classified by contributing factors [2][3][4]20,21,[23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Development of Hybrid-Vehicle Energy-Consumption Model for Transportation Applications—Part I: Driving-Power Equation Development and Coefficient Calibration

et al. 2020

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This study is the first of a two-part paper. The overall study presents a new methodology to improve the accuracy of hybrid vehicles’ energy-consumption model over conventional transportation modeling methods. The first paper attempts to improve an equation for vehicles’ driving-power estimation to be more realistic and specific for a particular vehicle model or fleet. The second paper adopts the driving-power equation to estimate the requested driving power. Then, the data are utilized to construct the hybrid-vehicle energy-consumption model, namely, the traction-force–speed-based energy-consumption model (TFS model). The main concept of the first paper is to utilize the power-split hybrid powertrain’s accessible on-board diagnostics (OBD) dataset, and its dynamic model to estimate the total propulsion power. Then, propulsion power was applied as the main parameter for driving-power equation development and vehicle-specific coefficient calibration. For coefficient calibration, this study implemented the stepwise multiple regression method to select and calibrate an optimal set of coefficients. Results showed that conventional driving-power equations Vehicle-Specific Power (VSP) LDV 1999 and VSP Prius3Spec provide low prediction fidelity, especially under high-speed (>80 km/h) and heavy-load driving (≥50 kW). In contrast, D r v P w P r i u s 3 , proposed in this study, effectively improved prediction to become more accurate and reliable through all driving conditions and speed ranges. It dramatically helped to reduce prediction discrepancy over the conventional equations at heavy-load driving, from an R-square of 0.79 and 0.78 to 0.96. D r v P w P r i u s 3 also the prediction error at high-speed driving from the maximal error of approximately −20 to −5 kW. This study also discovered that aerodynamics and rolling resistance were the primary factors that caused the prediction error of conventional VSP equations. In addition, results in this study showed that both of the approaches used to establish the P P T d r v and D r v P w P r i u s 3 equations were valid for a power-split hybrid vehicle’s driving-power estimation. For the coefficient-calibration part, the stepwise and multiple regression method is low-cost and simple, allowing to calibrate an appropriate set of optimal coefficients for a specific vehicle model or fleet.

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“…Y. Huang et al [1] study fuel consumption and emissions of a conventional and hybrid vehicle under real driving. A. Ahmed in [10] examine emissions and fuel economy of a parallel hybrid and a conventional vehicle for varied drive cycles. M. Karaoglan in [11] investigated the effect gear ratios (design scenario) on emission and fuel consumption for a parallel hybrid.…”

Section: Introductionmentioning

confidence: 99%

Comparing Fuel Consumption and Emission Levels of Hybrid Powertrain Configurations and a Conventional Powertrain in Varied Drive Cycles and Degree of Hybridization

et al. 2020

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Hybrid electric powertrains in automotive applications aim to improve emissions and fuel economy with respect to conventional internal combustion engine vehicles. Variety of design scenarios need to be addressed in designing a hybrid electric vehicle to achieve desired design objectives such as fuel consumption and exhaust gas emissions. The work in this paper presents an analysis of the design objectives for an automobile powertrain with respect to different design scenarios, i. e. target drive cycle and degree of hybridization. Toward these ends, four powertrain configuration models (i. e. internal combustion engine, series, parallel and complex hybrid powertrain configurations) of a small vehicle (motorized three wheeler) are developed using Model Advisor software and simulated with varied drive cycles and degrees of hybridization. Firstly, the impact of vehicle power control strategy and operational characteristics of the different powertrain configurations are investigated with respect to exhaust gas emissions and fuel consumption. Secondly, the drive cycles are scaled according to kinetic intensity and the relationship between fuel consumption and drive cycles is assessed. Thirdly, three fuel consumption models are developed so that fuel consumption values for a real-world drive cycle may be predicted in regard to each powertrain configuration. The results show that when compared with a conventional powertrain fuel consumption is lower in hybrid vehicles. This work led to the surprisingly result showing higher CO emission levels with hybrid vehicles. Furthermore, fuel consumption of all four powertrains showed a strong correlation with kinetic intensity values of selected drive cycles. It was found that with varied drive cycles the average fuel advantage for each was: series 23 %, parallel 21 %, and complex hybrids 33 %, compared to an IC engine powertrain. The study reveals that performance of hybrid configurations vary significantly with drive cycle and degree of hybridization. The paper also suggests future areas of study.

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Study of emissions and fuel economy for parallel hybrid versus conventional vehicles on real world and standard driving cycles

Cited by 48 publications

References 9 publications

A Simple Hybrid Electric Vehicle Fuel Consumption Model for Transportation Applications

A Simple Hybrid Electric Vehicle Fuel Consumption Model for Transportation Applications

Development of Hybrid-Vehicle Energy-Consumption Model for Transportation Applications—Part I: Driving-Power Equation Development and Coefficient Calibration

Comparing Fuel Consumption and Emission Levels of Hybrid Powertrain Configurations and a Conventional Powertrain in Varied Drive Cycles and Degree of Hybridization

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