Hybridization of battery and ultracapacitor for electric vehicle application with dynamic energy management and non-linear state feedback controller

This paper describes a methodology to control a multi-source battery-capacitor hybrid EV incorporating a dynamic power splitting strategy. Considering the requirement for precise speed control characteristics of the EV and the non-linear behavior of traction motor with system disturbances, a non-lin...

Full description

Bibliographic Details
Main Authors: Achikkulath Prasanthi, Hussain Shareef, Rachid Errouissi, Madathodika Asna, Azah Mohamed
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Energy Conversion and Management: X
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590174522000897
_version_ 1811214915729358848
author Achikkulath Prasanthi
Hussain Shareef
Rachid Errouissi
Madathodika Asna
Azah Mohamed
author_facet Achikkulath Prasanthi
Hussain Shareef
Rachid Errouissi
Madathodika Asna
Azah Mohamed
author_sort Achikkulath Prasanthi
collection DOAJ
description This paper describes a methodology to control a multi-source battery-capacitor hybrid EV incorporating a dynamic power splitting strategy. Considering the requirement for precise speed control characteristics of the EV and the non-linear behavior of traction motor with system disturbances, a non-linear state feedback controller (NLSFC) with a disturbance observer is suggested as the speed control technique for the EV traction motor. To interface a parallel configured multi-source system, a non-inverted buck-boost H-bridge is proposed as the source side converter for effective recovery of the braking energy. Detailed control design for traction motor and converter is also presented for efficient control of EV. Besides, an adaptive energy management strategy considering power profile and dynamic source characteristics is incorporated into the overall control system. The simulation results from various case studies indicate that the proposed system can follow the required vehicle speed and torque despite the sudden change in EV load torque. Furthermore, the comparative analysis between NLSFC and PI controller shows improvement with steady-state error reduction from 0.43 to 0.0014 and peak overshoot drop from 12.07% to 3.51% during acceleration of the system when proposed NLSFC is adopted. The proposed solutions will be implemented in a prototype EV system in the future.
first_indexed 2024-04-12T06:12:30Z
format Article
id doaj.art-1e1769d3f979406883eb9aae0c843b70
institution Directory Open Access Journal
issn 2590-1745
language English
last_indexed 2024-04-12T06:12:30Z
publishDate 2022-08-01
publisher Elsevier
record_format Article
series Energy Conversion and Management: X
spelling doaj.art-1e1769d3f979406883eb9aae0c843b702022-12-22T03:44:38ZengElsevierEnergy Conversion and Management: X2590-17452022-08-0115100266Hybridization of battery and ultracapacitor for electric vehicle application with dynamic energy management and non-linear state feedback controllerAchikkulath Prasanthi0Hussain Shareef1Rachid Errouissi2Madathodika Asna3Azah Mohamed4Department of Electrical and Communication Engineering, United Arab Emirates University, P. O. Box 15551, Al-Ain, UAEDepartment of Electrical and Communication Engineering, United Arab Emirates University, P. O. Box 15551, Al-Ain, UAE; Emirates Center for Mobility Research, United Arab Emirates University, P.O Box 15551, Al Ain, UAE; Corresponding author.Department of Electrical and Communication Engineering, United Arab Emirates University, P. O. Box 15551, Al-Ain, UAEDepartment of Electrical and Communication Engineering, United Arab Emirates University, P. O. Box 15551, Al-Ain, UAEDepartment of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, MalaysiaThis paper describes a methodology to control a multi-source battery-capacitor hybrid EV incorporating a dynamic power splitting strategy. Considering the requirement for precise speed control characteristics of the EV and the non-linear behavior of traction motor with system disturbances, a non-linear state feedback controller (NLSFC) with a disturbance observer is suggested as the speed control technique for the EV traction motor. To interface a parallel configured multi-source system, a non-inverted buck-boost H-bridge is proposed as the source side converter for effective recovery of the braking energy. Detailed control design for traction motor and converter is also presented for efficient control of EV. Besides, an adaptive energy management strategy considering power profile and dynamic source characteristics is incorporated into the overall control system. The simulation results from various case studies indicate that the proposed system can follow the required vehicle speed and torque despite the sudden change in EV load torque. Furthermore, the comparative analysis between NLSFC and PI controller shows improvement with steady-state error reduction from 0.43 to 0.0014 and peak overshoot drop from 12.07% to 3.51% during acceleration of the system when proposed NLSFC is adopted. The proposed solutions will be implemented in a prototype EV system in the future.http://www.sciencedirect.com/science/article/pii/S2590174522000897Hybrid electric vehicleAdaptive energy management strategyHybrid energy storage systemNon-linear state feedback controllerDisturbance observer
spellingShingle Achikkulath Prasanthi
Hussain Shareef
Rachid Errouissi
Madathodika Asna
Azah Mohamed
Hybridization of battery and ultracapacitor for electric vehicle application with dynamic energy management and non-linear state feedback controller
Energy Conversion and Management: X
Hybrid electric vehicle
Adaptive energy management strategy
Hybrid energy storage system
Non-linear state feedback controller
Disturbance observer
title Hybridization of battery and ultracapacitor for electric vehicle application with dynamic energy management and non-linear state feedback controller
title_full Hybridization of battery and ultracapacitor for electric vehicle application with dynamic energy management and non-linear state feedback controller
title_fullStr Hybridization of battery and ultracapacitor for electric vehicle application with dynamic energy management and non-linear state feedback controller
title_full_unstemmed Hybridization of battery and ultracapacitor for electric vehicle application with dynamic energy management and non-linear state feedback controller
title_short Hybridization of battery and ultracapacitor for electric vehicle application with dynamic energy management and non-linear state feedback controller
title_sort hybridization of battery and ultracapacitor for electric vehicle application with dynamic energy management and non linear state feedback controller
topic Hybrid electric vehicle
Adaptive energy management strategy
Hybrid energy storage system
Non-linear state feedback controller
Disturbance observer
url http://www.sciencedirect.com/science/article/pii/S2590174522000897
work_keys_str_mv AT achikkulathprasanthi hybridizationofbatteryandultracapacitorforelectricvehicleapplicationwithdynamicenergymanagementandnonlinearstatefeedbackcontroller
AT hussainshareef hybridizationofbatteryandultracapacitorforelectricvehicleapplicationwithdynamicenergymanagementandnonlinearstatefeedbackcontroller
AT rachiderrouissi hybridizationofbatteryandultracapacitorforelectricvehicleapplicationwithdynamicenergymanagementandnonlinearstatefeedbackcontroller
AT madathodikaasna hybridizationofbatteryandultracapacitorforelectricvehicleapplicationwithdynamicenergymanagementandnonlinearstatefeedbackcontroller
AT azahmohamed hybridizationofbatteryandultracapacitorforelectricvehicleapplicationwithdynamicenergymanagementandnonlinearstatefeedbackcontroller