Operation and Control of Split-Parallel, Through-the- Road Hybrid Electric Vehicle With in-Wheel Motors

Zulkifli, Saiful A.; Mohd, Syaifuddin; Saad, Nordin; Aziz, A. Rashid A.

doi:10.15282/ijame.11.2015.54.0235

Cited by 14 publications

(7 citation statements)

References 17 publications

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“…The charging stations must be equipped in accordance with the environmental safety standards, and renewable and alternative energy sources (solar panels, wind turbines, etc.) must be used at the fullest degree as it is demonstrated in the sources [22][23][24][25][26]. That is why making research in the field of energy-saving technologies for urban bus transport with analysis of its main components is the key stage to choose the most optimal, in terms of ecology and economy, means of improving transport infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Energy saving technologies for urban bus transport

Hnatov¹,

Arhun²,

Ponikarovska³

2017

Int. J. Automot. Mech. Eng.

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Reduction of non-renewable sources of energy and the ecological state of metropolises have become the cause of the search for optimal solutions for introduction of energyefficient and environmentally friendly technologies for urban bus transport, which is the purpose of this work. A review of environmentally friendly buses has shown that electric buses (electrobuses) are the most perspective. However, rapid replacement of all the buses with electrobuses is impossible because of their high cost. A comparative analysis of the operating costs of different types of buses of the same destination and class has been carried out in order to choose the optimal variant. Thus, one route of 4.23 km in length was chosen in Kharkiv (Ukraine). Experimental and calculated data showed that a minibus converted into an electrobus is the most acceptable means for urban passenger transportation. Ultra-capacitors are suggested as an energy source. The conceptual diagram of the model of such a bus is presented and the technical requirements for its components are determined. The data and proposals are useful for Ukraine and for countries with low economic development that cannot quickly replace old diesel buses with new, environmentally friendly, electrobuses. The results of this work are the basis for further research and development.

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Section: Introductionmentioning

confidence: 99%

Energy saving technologies for urban bus transport

Hnatov¹,

Arhun²,

Ponikarovska³

2017

Int. J. Automot. Mech. Eng.

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“…The importance of aerodynamics to a Hybrid Electric Vehicle (HEV) is the determination of drag estimation to know the car's performance on the road against air resistance. It can be used to improve stability, noise and fuel consumption [1][2][3][4][5][6][7]. Many car makers formulate research and continue to develop the HEV models that are focused on higher propulsion efficiency in order to integrate the energy saving by reducing the rolling resistance of wheel and the drag by aerodynamically losses.…”

Section: Introductionmentioning

confidence: 99%

Hybrid electric vehicle car body drag analysis using computational fluid dynamics

Ramasamy¹,

Mohanesan²,

Kadirgama³

et al. 2017

Int. J. Automot. Mech. Eng.

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Aerodynamics drag was considered for giving better efficiency for a car on the road. The development of drag on a vehicle body was studied. The main objective was to determine the maximum drag occurring on the car body drag of the hybrid electric vehicle (HEV). The analysis was conducted on the car speed ranging between 40 km/h to 110 km/h using pressure points at various parts of the car. The car body was modelled in CAD using the mass and momentum equations discretized for an analysis. The technique to estimate the drag used was input of car body-drag (CFD) and exporting it to finite element analysis (FEA) to find the value of aerodynamics drag in terms of drag forces and drag coefficient. The values were validated with actual pressure reading from pressure probes on the car body. The result showed that contour and trajectories plots were also used to analyse the characteristics of streamlines flow or boundary layer occurred on the body of this model, especially for the forebody, upper body and rear body. The maximum rise of aerodynamics drag occurred between velocities of 80 km/h and 90 km/h which was about 5.04 % increase of drag coefficient. Further analysis is required with wind tunnels.

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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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Operation and Control of Split-Parallel, Through-the- Road Hybrid Electric Vehicle With in-Wheel Motors

Cited by 14 publications

References 17 publications

Energy saving technologies for urban bus transport

Energy saving technologies for urban bus transport

Hybrid electric vehicle car body drag analysis using computational fluid dynamics

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

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