Design and Optimization of Powertrain System for Prototype Fuel Cell Electric Vehicle

Omar, Syed; Arshad, Naveed; Yassin, Ihsan Mohd; Fakharuzi, M. H.A.Mohd; Ward, Thomas A.

doi:10.15282/jmes.8.2015.15.0137

Cited by 7 publications

(9 citation statements)

References 19 publications

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“…In recent years, there are many research works in designing and testing the energy‐efficient racer . Guillaume et al proposed a typical methodology to design a high‐efficiency FC powertrain.…”

Section: Introductionmentioning

confidence: 99%

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Design and energy efficiency analysis of a pure fuel cell vehicle for Shell eco racer

et al. 2019

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Summary The target of Shell Eco‐marathon competition of vehicle is to drive a fixed distance with the lowest quantity of fuel. To win the competition, the fuel cell‐powered propulsion system needs to be ultra efficient since the fuel cell system and transmission system are the key effects on the performance of the fuel cell‐powered propulsion system. In this study, a high‐efficiency fuel cell propulsion system has been designed and integrated in a prototype vehicle to participate the Shell Eco‐marathon Asia 2018 race. To achieve that, the vehicle dynamic is modeled to make the selection of the key components, and some experiments have been conducted to obtain the properly vehicle driving strategy. Based on the results of vehicle dynamic analysis, a high specific power proton‐exchange membrane fuel cell (PEMFC) stack with 1000 W and a high‐performance direct current (DC) brushless motor (1000 W) are selected to build the propulsion system of the Shell Eco‐marathon vehicle. Based on the experimental result, the racing time (1300‐1440 seconds) and varied range of racing speed (23‐27 km/h) are selected as the driving strategy. Finally, the efficiency of the fuel cell‐powered vehicle is analyzed. In the race at the year of 2018, the designed vehicle won the first place.

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Section: Introductionmentioning

confidence: 99%

“…In recent years, there are many research works in designing and testing the energy-efficient racer. [14][15][16][17][18][19][20] Guillaume et al 13 proposed a typical methodology to design a high-efficiency FC powertrain. They focused on design and testing of the powertrain.…”

Section: Introductionmentioning

confidence: 99%

Design and energy efficiency analysis of a pure fuel cell vehicle for Shell eco racer

et al. 2019

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“…Based on these conditions, a new vehicle technology to reduce air pollution and fuel consumption is required. Many researchers and vehicle companies have developed some new vehicle technologies to decrease fuel consumption and air pollution, such as the electric vehicle [6][7][8][9][10] and hybrid electric vehicle [11][12][13]. However, Range Extended Electric Vehicle (REEV) [14][15][16][17][18] is the most suitable vehicle technology for the future as compared to electric vehicle and hybrid electric vehicle [19,20].…”

Section: Introductionmentioning

confidence: 99%

Radial basis function and particle swarm optimization to predict range extender engine performance

Wahono¹,

Praptijanto²,

Santoso³

et al. 2017

J. MECH. ENG. SCI.

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Range extender engine is one of the potential technologies to develop in future. However, this technology still has performance and emission problem. To solve this problem, a new technology model and optimization method are needed. Therefore, for this purpose, the radial basis function and particle swarm optimization are used in the investigation. In this study, two types of radial basis function (RBF), Cauchy and Gaussian, were used to construct the prediction model of fuel consumption and range extender engine emission. Both RBF types were compared with one another to decide on which one is the best to predict the model. By using data from a two-cylinder 999 cc gasoline engine, generator, battery, electric motor and other vehicle components, a range extender electric vehicle (REEV) model simulation was built. Based on this simulation result, some output data will be taken as training set data to build the prediction model of fuel consumption and emission and some output data will be taken to test this prediction model in MATLAB. Moreover, particle swarm optimization (PSO) was used to calculate some control parameters of range extender engine to optimize fuel consumption and emission based on the best model. The result shows that the radial basis function is successfully used to develop the prediction model of some range extender engine control parameters. The Cauchy type radial basis function has better accuracy than Gaussian type radial basis function. Moreover, based on the model, PSO method is able to calculate control parameters efficiently to optimize evaluation item based on the model.

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“…Many researchers have used alternative fuels such as bioethanol, alcohol or hydrogen [5][6][7][8][9][10][11][12][13], but these alternative fuels still have some problems such as unsustainability and difficulties with their storage systems [14,15]. Electric vehicles (EV) [16,17] and hybrid electric vehicles (HEV) [18,19]have the most potential as new technologies to address these issues [20][21][22][23][24]. People at the moment are giving great attention to EV and HEV due to the rising shortage of global oil supply and skyrocketing oil prices [25].…”

Section: Introductionmentioning

confidence: 99%

A comparison study of range-extended engines for electric vehicle based on vehicle simulator

Wahono¹,

Nur²,

Santoso³

et al. 2016

J. Mech, Eng, Sci.

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Electric vehicles have several disadvantages compared to conventional vehicles, such as their road ability and vehicle weight. To overcome these problems, range-extended engine technology has been developed. A range extender is a generator set that consists of an internal combustion engine coupled with a generator that operates when it is required. A vehicle simulator was deployed to compare the performance of three types of range-extended engines i.e. 1-cylinder 389 cc, 1-cylinder 494 cc and 2-cylinder 988 cc gasoline engines. The best type chosen was afterwards to be coupled with an electric vehicle. The performance data of each internal combustion engine was collected using experiment and simulation data. Two types of driving cycle, the Federal Test Procedure cycle and Artemis Rural Road cycle, were chosen to compare the optimum road ability of the vehicle. The result shows that the 2-cylinder 988 cc range-extended engine has the best performance, with an electrical motor energy consumption decrease of up to 83.26%, fuel consumption increase for the range-extended engine of up to 3.91 L/km, and a road ability increase of up to 232.79% compared to a pure electric vehicle.

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Design and Optimization of Powertrain System for Prototype Fuel Cell Electric Vehicle

Cited by 7 publications

References 19 publications

Design and energy efficiency analysis of a pure fuel cell vehicle for Shell eco racer

Design and energy efficiency analysis of a pure fuel cell vehicle for Shell eco racer

Radial basis function and particle swarm optimization to predict range extender engine performance

A comparison study of range-extended engines for electric vehicle based on vehicle simulator

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