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Energy management of battery to DC motor / Ahmad Syahir Zainal

By:

Ahmad Syahir Zainal

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2008Description: 44 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:

THE0007190(Local)

Other title:

Energy management of battery to DC motor [electronic resource]

Subject(s):

Dissertation note: Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2008 Abstract: An electric vehicle (EV) is vehicles that use an electric as its power source. Electricity can be generated by many ways like solar, wind and water. An EV will produce almost zero emission. An EV used a direct current (DC) motor as exchange with the internal combustion engine (ICE) in conventional vehicle and in hybrid electric vehicle (HEV). A battery electric vehicle (BEV) is just using battery as its power source which is different from HEV that are using ICE as a generator and as a secondary power source that still produce pollution in the air. The energy for BEV is generated by battery to DC motor. This part is known as energy management of battery to DC motor. There is method to estimate the state of charge (SOC) from a battery. In this project, an experiment have be done using 5 horsepower (HP) DC motor and a lead-acid battery to estimate the SOC by using an open circuit voltage (OCV) of a battery. For charging profile, a data is produced by using a 12V 20A charger that is connected to a series of battery. A simulation for determining SOC of a battery to DC motor also have be done by using a MATLAB software version 7.6.0 (R2008a). By an experiment, result of charging and discharging profile are plotted into a graph and by a simulation using MATLAB software, graph of discharging profile is plotted and by analyzed the result, prediction of journey have been made and battery lifetime also can be determined. With this both result, a comparison have been made to both result and an algorithm is been produced consisting of an energy management of a battery to DC motor. With this algorithm, an estimation of the energy left in the batteries that have been supply to different load of DC motor should be easier. The new design of a battery charger also been introduced in this thesis. By using a L200 component, the charger system should be an intelligent circuit with additional features.

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Holdings ( 2 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TL221.15 .S93 2008 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000038228
Final Year Report	UMPLIB PEKAN	CD 3467 \| TL221.15 .S93 2008 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000038229

Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2008

An electric vehicle (EV) is vehicles that use an electric as its power source. Electricity can be generated by many ways like solar, wind and water. An EV will produce almost zero emission. An EV used a direct current (DC) motor as exchange with the internal combustion engine (ICE) in conventional vehicle and in hybrid electric vehicle (HEV). A battery electric vehicle (BEV) is just using battery as its power source which is different from HEV that are using ICE as a generator and as a secondary power source that still produce pollution in the air. The energy for BEV is generated by battery to DC motor. This part is known as energy management of battery to DC motor. There is method to estimate the state of charge (SOC) from a battery. In this project, an experiment have be done using 5 horsepower (HP) DC motor and a lead-acid battery to estimate the SOC by using an open circuit voltage (OCV) of a battery. For charging profile, a data is produced by using a 12V 20A charger that is connected to a series of battery. A simulation for determining SOC of a battery to DC motor also have be done by using a MATLAB software version 7.6.0 (R2008a). By an experiment, result of charging and discharging profile are plotted into a graph and by a simulation using MATLAB software, graph of discharging profile is plotted and by analyzed the result, prediction of journey have been made and battery lifetime also can be determined. With this both result, a comparison have been made to both result and an algorithm is been produced consisting of an energy management of a battery to DC motor. With this algorithm, an estimation of the energy left in the batteries that have been supply to different load of DC motor should be easier. The new design of a battery charger also been introduced in this thesis. By using a L200 component, the charger system should be an intelligent circuit with additional features.