Energy management of multiple sources for electric vehicles

This thesis presents the energy management of battery, ultracapacitor (UC) and photovoltaic (PV) power system for Electric Vehicles (EV). The proposed energy sharing control, in which each energy source is connected in parallel to the direct current (DC) bus via a power electronic converter. All ene...

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Main Author:	Tie, Siang Fui
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/54604/25/TieSiangFuiMFKE2015.pdf
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spelling	my-utm-ep.546042020-10-20T07:49:14Z Energy management of multiple sources for electric vehicles 2015-03 Tie, Siang Fui TK Electrical engineering. Electronics Nuclear engineering This thesis presents the energy management of battery, ultracapacitor (UC) and photovoltaic (PV) power system for Electric Vehicles (EV). The proposed energy sharing control, in which each energy source is connected in parallel to the direct current (DC) bus via a power electronic converter. All energy sources are studied to investigate the different supply characteristics in order to avoid detrimental effects on the energy sources. A total of four control loops are employed in the supervisory system in order to regulate the DC bus voltage. The Proportional- Integral (PI) compensator is used in each control loop to simplify the overall system design. In this work, the Generalized Predictive Controller (GPC) is proposed to control the multiple energy system. The simulation results are then compared with the conventional PI control technique. The energy management strategy is designed according to typical vehicle operation modes based on the state-of-charge of energy storage devices and the total output power. The performance of the EV’s energy management using both the PI controller and the GPC is simulated using resistive load and a DC motor drive system through MATLAB/Simulink simulation package. Then, the feasibility of the control system is validated through laboratory scale experimental tests. In the experiment, the dSPACE DS1104 is used to implement PI controller into hardware. The responses of the DC bus are analyzed based on different vehicle operation modes. Results show the proposed parallel energy-sharing control system either in simulation or hardware experiment is able to provide a dynamic response, avoid battery being overstressed by current, the UC charged according to vehicle speed, and the PV tracked the maximum power. However, between the discrete PI and GPC control, the GPC is slightly better than PI control. 2015-03 Thesis http://eprints.utm.my/id/eprint/54604/ http://eprints.utm.my/id/eprint/54604/25/TieSiangFuiMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86401 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Tie, Siang Fui Energy management of multiple sources for electric vehicles
description	This thesis presents the energy management of battery, ultracapacitor (UC) and photovoltaic (PV) power system for Electric Vehicles (EV). The proposed energy sharing control, in which each energy source is connected in parallel to the direct current (DC) bus via a power electronic converter. All energy sources are studied to investigate the different supply characteristics in order to avoid detrimental effects on the energy sources. A total of four control loops are employed in the supervisory system in order to regulate the DC bus voltage. The Proportional- Integral (PI) compensator is used in each control loop to simplify the overall system design. In this work, the Generalized Predictive Controller (GPC) is proposed to control the multiple energy system. The simulation results are then compared with the conventional PI control technique. The energy management strategy is designed according to typical vehicle operation modes based on the state-of-charge of energy storage devices and the total output power. The performance of the EV’s energy management using both the PI controller and the GPC is simulated using resistive load and a DC motor drive system through MATLAB/Simulink simulation package. Then, the feasibility of the control system is validated through laboratory scale experimental tests. In the experiment, the dSPACE DS1104 is used to implement PI controller into hardware. The responses of the DC bus are analyzed based on different vehicle operation modes. Results show the proposed parallel energy-sharing control system either in simulation or hardware experiment is able to provide a dynamic response, avoid battery being overstressed by current, the UC charged according to vehicle speed, and the PV tracked the maximum power. However, between the discrete PI and GPC control, the GPC is slightly better than PI control.
format	Thesis
qualification_level	Master's degree
author	Tie, Siang Fui
author_facet	Tie, Siang Fui
author_sort	Tie, Siang Fui
title	Energy management of multiple sources for electric vehicles
title_short	Energy management of multiple sources for electric vehicles
title_full	Energy management of multiple sources for electric vehicles
title_fullStr	Energy management of multiple sources for electric vehicles
title_full_unstemmed	Energy management of multiple sources for electric vehicles
title_sort	energy management of multiple sources for electric vehicles
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/54604/25/TieSiangFuiMFKE2015.pdf
_version_	1747817686536028160

Energy management of multiple sources for electric vehicles

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