6 research outputs found

    A Study on PHERB Powertrain Modeling and Analysis

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    A study on plug-in hybrid electric recreational boat (PHERB) powertrain with a special energy management strategy modeling and analysis was presented in this paper. Firstly, the boat components are sized to meet the expected power and energy requirements through a power flow analysis. Then, the model is tested numerically in the MATLAB/SIMULINK environment using the existing driving cycle. The accuracy of the model is verified by a comparison of the component between the simulation results from PHERB and advanced vehicle simulator (ADVISOR) software. The simulation results of component, fuel economy and emission of PHERB and hybrid electric vehicle models in ADVISOR are compared

    Driving Cycle Analysis for Fuel Economy and Emissions in Kuala Terengganu during Peak Time

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    Number of vehicles grows rapidly in Kuala Terengganu by year. This increment is troubled by the performance of the vehicle regarding pollutants generated. Plug-in hybrid electric vehicles (PHEV) are widely considered to be the most promising vehicles instead of the traditional engine vehicles to reduce fuel consumption and exhaust gas emission. The objectives of this paper are to develop driving cycle of Kuala Terengganu and to analyse the fuel economy and emissions in Kuala Terengganu during peak time. Driving cycle is where PHEV is used as the main apparatus to determine the driving cycle data. In this study, the on-road measurement method is used to collect the data, along with the global positioning system. This technique involves recording speedtime dataset in the real-world driving cycle. Three main methods to identify the best driving cycle are route selection, data collection and data analysis. The data were analysed to get the best driving cycle using a computer program, which is Mathematical Laboratory (MATLAB), along with validated parameters

    myBas driving cycle for Kuala Terengganu city

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    Driving cycles are series of data points that represent vehicle speed versus time sequenced profile developed for specific road, route, city or certain location. It is widely utilized in the application of vehicle manufacturers, environmentalists and traffic engineers. Since the vehicles are one of the higher air pollution sources, driving cycle is needed to evaluate the fuel consumption and exhaust emissions. The main objectives in this study are to develop and characterize the driving cycle for myBAS in Kuala Terengganu city using established k-means clustering method and to analyse the fuel consumption and emissions using advanced vehicle simulator (ADVISOR). Operation of myBAS offers 7 trunk routes and one feeder route. The research covered on two operation routes of myBAS which is Kuala Terengganu city-feeder and from Kuala Terengganu to Jeti Merang where the speed-time data is collected using on-board measurement method. In general, driving cycle is made up of a few micro-trips, defined as the trip made between two idling periods. These micro-trips cluster by using the k-means clustering method and matrix laboratory software (MATLAB) is used in developing myBAS driving cycle. Typically, developing the driving cycle based on the real-world in resulting improved the fuel economy and emissions of myBAS

    A Comparative Study of Conceptual Design and Prototype for DC-Trad Usingev Powertrain for RTW DC in KT City

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    This paper is an overview of electric vehicle (EV) conceptual model development in SIMULINK; this involves components of an EV which include driver input, motor and controller, battery and the calculation of parameters with a dashboard viewing interface in which all parameters can be monitored from the dashboard. The paper focuses on comparisons of specifications and costing of an EV and a fuel-powered vehicle on route-to-work driving cycle for Kuala Terengganu city (RTW DC for KT city). A few parameters of EV were chosen to be interpreted: time, distance travelled, average speed, average running speed, average acceleration, average deceleration, acceleration percentage, deceleration percentage, idling percentage, cruising percentage, kWh and fuel costing, battery voltage, current, state-of-charge (SOC) and power. Through this, detailed overview of EV efficiency can be concluded and proven. This paper applies four methods: parameter calculation, EV modelling, data collection on RTW DC for KT city using driving cycle tracking device and validation of EV with RTW DC for KT city. The validation of the model is successful, and the travelling with the EV is proven to be more costefficient compared to that with fuel-powered vehicles.The authors express their obligation to Ministry of Education Malaysia for providing financial assistance under FRGS 2020 (59623) grant and the Faculty of Ocean Engineering Technology and Informatics, UMT for all their technical and research support for this work to be successfully completed

    Characterization and Development of a KL Driving Cycle for PHERB Powertrain

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    This paper presents the result that being obtained by development of Kenyir Lake driving cycle for a plug-in hybrid electric recreational boat (PHERB) powertrain. This research is conducted by using on board measurement techniques; second-by-second driving speed data correlate to time is collected by using global positioning system of the boat along selected route. A combination of batteries and ultracapacitor pack are used for hybrid energy storage system in PHERB powertrain which is good for driving performance and energy efficiency. The developed driving cycle contains a 2294 s speed time series, with a distance of 8.19 km, and an average and a maximum speed of 12.85 km/h and 36.91 km/h, respectively. The characteristics of KL driving cycle are compared with existing standard drive cycles. The results obtained from this analysis are within reasonable range and satisfactory

    Characterization and Development of a KL Driving Cycle for PHERB Powertrain

    No full text
    This paper presents the result that being obtained by development of Kenyir Lake driving cycle for a plug-in hybrid electric recreational boat (PHERB) powertrain. This research is conducted by using on board measurement techniques; second-by-second driving speed data correlate to time is collected by using global positioning system of the boat along selected route. A combination of batteries and ultracapacitor pack are used for hybrid energy storage system in PHERB powertrain which is good for driving performance and energy efficiency. The developed driving cycle contains a 2294 s speed time series, with a distance of 8.19 km, and an average and a maximum speed of 12.85 km/h and 36.91 km/h, respectively. The characteristics of KL driving cycle are compared with existing standard drive cycles. The results obtained from this analysis are within reasonable range and satisfactory
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