Analysis of Range Extender Electric Vehicle Performance Using Vehicle Simulator

Wahono, Bambang; Santoso, Widodo Budi; Nur, Arifin; Amin, Ali

doi:10.1016/j.egypro.2015.03.272

Cited by 27 publications

(14 citation statements)

References 7 publications

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“…AVL CRUISE is an example of a micro-scale instantaneous emission model base tool which enables the user to design a specific passenger vehicle and simulate fuel consumption and emissions under different operating conditions. It is considered to be one of the industry's most powerful, robust and adaptable software for vehicle system and driveline analysis with advanced simulation and optimization features [37]. It helps efficiently developing the right decisions leading to competitive vehicles with respect to fuel efficiency, emissions, performance and drive ability [38].…”

Section: Methodology and Datamentioning

confidence: 99%

Life cycle (well-to-wheel) energy and environmental assessment of natural gas as transportation fuel in Pakistan

et al. 2019

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Consumers and organizations worldwide are searching for low-carbon alternatives to conventional gasoline and diesel vehicles to reduce greenhouse gas (GHG) emissions and their impact on the environment. Natural gas as an alternative transportation fuel has made significant inroads in the light and heavy duty vehicles market over the last fifteen years. In a sustainable development view, both vehicle emissions and energy supply chain analysis from well-to-wheel must be addressed. The aim of this research is to provide a Well-to-Wheel (WtW) assessment of energy consumptions and GHG emissions for 25 combinations of automotive fuel and matching powertrain systems, with a special focus on the natural gas pathways. Although several well-towheel studies available in literature are comprehensive in relation to developed countries' conditions, it is problematic to apply the results to developing countries fuel markets, since the local fuel conditions and respective vehicle powertrain technologies are considerably different. This study deal with a comparative well-to-wheel analysis of natural gas, diesel and gasoline fuels looking at the Pakistanis situation but the models and approaches for this study can be applied to other countries having similar characteristics, as long as all the assumptions are well defined and modified to find a substitute automotive energy source and establish an energy policy in a specific region. The well-to-tank step was made using the GREET model, developed by the U.S. Argonne National Laboratory while tank-to-wheel analysis was performed using AVL Cruise, a commercially-available backward vehicle simulator. Later both stages were integrated in a well-to-wheel stage where relevant indexes were proposed and discussed. The results indicate that natural gas vehicles are 5-17% and 23-36% less fuel efficient, depending on the engine technology employed as compared to gasoline and diesel powertrain, respectively. Natural gas appears as an environmental efficient pathway regarding GHG emissions, especially compared to gasoline. In addition, using 20-year GWPs instead of 100-year GWPs increases WtW GHG emissions by 19-26% for natural gas pathways.

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Section: Methodology and Datamentioning

confidence: 99%

Life cycle (well-to-wheel) energy and environmental assessment of natural gas as transportation fuel in Pakistan

et al. 2019

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“…Since there is limited capacity of energy storage on board in EVs, it is very important to optimize the size and weight of battery packs in terms of the required performance, driving distances and costs. Simulation approaches are generally used to optimize the size of battery systems in hybrid electric vehicles (HEVs) and plug-in hybrid electric vehicles (PHEVs) for the reduction in fuel consumption, cost and green-house gas emissions [4][5][6] and to compare different battery systems There is generic software: Advanced Vehicle Simulator (ADVISOR), which can be used to analyze and simulate both conventional vehicles and EVs [7].…”

Section: Introductionmentioning

confidence: 99%

Comparison and Selection of LiFePO4 Battery System in Underground Mine Electric Vehicles

He¹,

Shen²

2019

dteees

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Due to safe and reliable characteristic, two lithium iron phosphate (LiFePO4) batteries and their corresponding battery packs with different capacities have been chosen to make four battery systems for underground mine electric vehicles (UMEVs). The experiments of these batteries and battery packs are conducted to identify their internal resistances, the relationships between open circuit voltage and state of charge during charging/discharging period and capacities at different ambient temperatures. A hybrid simulation approach based on the modified Advanced Vehicle Simulator (ADVISOR) is proposed to compare these four battery systems by integrating the experimental results of these batteries and battery packs into an UMEV model. Then, the simulation of the UMEV is conducted at the specifically designed underground mine driving cycle with variable rolling resistance coefficients and variable uphill/downhill gradients. The results indicate that the battery system with the prismatic cell of 20Ah is the best option for the UMEV among the four battery systems.

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“…[3][4][5] The rangeextended electric vehicle (ReEV) is a clever solution due to its combination of a combustion engine and an electric generator, since both the application range and user acceptance are much greater. 6 However, it is faced with the challenge of more complex noise, vibration and harshness (NVH) behaviors at the same time. 7,8 Especially during the engine start-stop phase, the driver and passengers without preparation and precognition are more sensitive to the accompanying vibration.…”

Section: Introductionmentioning

confidence: 99%

Electric motor-based crankshaft stop position control to suppress range extender start vibration in electric vehicle

Guo

Han

Wang

et al. 2017

Journal of Low Frequency Noise, Vibration and Active Control

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Range-extended electric vehicles have the most complex noise and vibration problems since certain control strategies often make range extenders (REs) shut down or restart for the sake of better fuel consumption. This paper deals with this uncomfortable riding experience, especially during the range extender start phase. A control-oriented nonlinear model for the start–stop vibration analysis, including range extender mount system, engine–clutch–motor shaft system, engine inertia torque and force, engine friction torque, engine gas torque, engine manifold pressure, electric motor torque, and range extender controller, is thus built. In the developed model, a new estimation method for gas torque is proposed, where the initial crank angle is considered and the relevant equations are simplified. The method has proven to predict gas torque accurately without using a complex calculation process. According to the developed model, the active control method, crankshaft stop position control (CSPC) has been proposed. The crankshaft stop position is analyzed as well as the crankshaft movement with different speeds at top dead center is discussed, which lead to the design of the target curves for crankshaft movement during the stop phase. Based on the set-up model, CSPC is finally applied through the cascade control of the motor to evaluate the control effectiveness. The simulation outcomes demonstrate that CSPC can help the crankshaft to finally stop at the optimal initial crank angle, which effectively lessens the vibration in the next start phase.

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Analysis of Range Extender Electric Vehicle Performance Using Vehicle Simulator

Cited by 27 publications

References 7 publications

Life cycle (well-to-wheel) energy and environmental assessment of natural gas as transportation fuel in Pakistan

Life cycle (well-to-wheel) energy and environmental assessment of natural gas as transportation fuel in Pakistan

Comparison and Selection of LiFePO4 Battery System in Underground Mine Electric Vehicles

Electric motor-based crankshaft stop position control to suppress range extender start vibration in electric vehicle

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