Comparison analysis between PI and adaptive controllers for DC-DC converter of hybrid energy storage systems in electric vehicles
A power converter is one of the important components in a hybrid electric vehicle (HEV), where it has a strong nonlinear dynamic due to the variation of load demand from different driving modes, namely acceleration, braking and cruising. To adapt with the nonlinearities, this work proposes the use...
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The Automotive Engineering Centre (AEC), Universiti Malaysia Pahang
2023
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Online Access: | http://irep.iium.edu.my/108000/7/108000_Comparison%20analysis%20between%20PI%20and%20adaptive%20controllers.pdf http://irep.iium.edu.my/108000/13/108000_Comparison%20analysis%20between%20PI%20and%20adaptive%20controllers_Scopus.pdf http://irep.iium.edu.my/108000/ https://journal.ump.edu.my/ijame/article/view/9314 https://doi.org/10.15282/ijame.20.3.2023.09.0823 |
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my.iium.irep.1080002024-05-20T06:50:34Z http://irep.iium.edu.my/108000/ Comparison analysis between PI and adaptive controllers for DC-DC converter of hybrid energy storage systems in electric vehicles Islam, Maidul Abdullah, Muhammad Abdul Ghaffar, Alia Farhana Ahmad, Salmiah TJ212 Control engineering TL1 Motor vehicles A power converter is one of the important components in a hybrid electric vehicle (HEV), where it has a strong nonlinear dynamic due to the variation of load demand from different driving modes, namely acceleration, braking and cruising. To adapt with the nonlinearities, this work proposes the use of direct model reference adaptive control (DMRAC) to regulate its operation in tracking the load and current demand of the HEV. To validate the response, the control performance is benchmarked with the commonly used traditional PI controller. The system model includes a battery with a supercapacitor, and its controller was constructed using the MATLAB Simulink platform. Simulation results show that DMRAC provides better performance as compared to the PI controller in two cases, which are tracking the current and load demands according to the root mean square error (RMSE) analysis. Nevertheless, in the presence of disturbance, it is noted that DMRAC is only effective in tracking the current demand while requiring some time to adapt and surpass the PI controller in tracking the load demand. Based on these findings, it can be justified that the DMRAC has the potential to become a good alternative approach to control the HEV power converters, specifically in the presence of disturbance. The Automotive Engineering Centre (AEC), Universiti Malaysia Pahang 2023-10-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/108000/7/108000_Comparison%20analysis%20between%20PI%20and%20adaptive%20controllers.pdf application/pdf en http://irep.iium.edu.my/108000/13/108000_Comparison%20analysis%20between%20PI%20and%20adaptive%20controllers_Scopus.pdf Islam, Maidul and Abdullah, Muhammad and Abdul Ghaffar, Alia Farhana and Ahmad, Salmiah (2023) Comparison analysis between PI and adaptive controllers for DC-DC converter of hybrid energy storage systems in electric vehicles. International Journal of Automotive and Mechanical Engineering, 20 (3). pp. 10659-10670. ISSN 2229-8649 E-ISSN 2180-1606 https://journal.ump.edu.my/ijame/article/view/9314 https://doi.org/10.15282/ijame.20.3.2023.09.0823 |
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TJ212 Control engineering TL1 Motor vehicles Islam, Maidul Abdullah, Muhammad Abdul Ghaffar, Alia Farhana Ahmad, Salmiah Comparison analysis between PI and adaptive controllers for DC-DC converter of hybrid energy storage systems in electric vehicles |
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A power converter is one of the important components in a hybrid electric vehicle (HEV), where it has a strong nonlinear dynamic due to the variation of load demand
from different driving modes, namely acceleration, braking and cruising. To adapt with the nonlinearities, this work proposes the use of direct model reference adaptive control (DMRAC) to regulate its operation in tracking the load and current demand of the HEV. To validate the response, the control performance is benchmarked with the commonly used traditional PI controller. The system model includes a battery with a supercapacitor, and its controller was
constructed using the MATLAB Simulink platform. Simulation results show that DMRAC provides better performance as compared to the PI controller in two cases, which are tracking
the current and load demands according to the root mean square error (RMSE) analysis. Nevertheless, in the presence of disturbance, it is noted that DMRAC is only effective in
tracking the current demand while requiring some time to adapt and surpass the PI controller in tracking the load demand. Based on these findings, it can be justified that the DMRAC has the potential to become a good alternative approach to control the HEV power converters, specifically in the presence of disturbance. |
format |
Article |
author |
Islam, Maidul Abdullah, Muhammad Abdul Ghaffar, Alia Farhana Ahmad, Salmiah |
author_facet |
Islam, Maidul Abdullah, Muhammad Abdul Ghaffar, Alia Farhana Ahmad, Salmiah |
author_sort |
Islam, Maidul |
title |
Comparison analysis between PI and adaptive controllers for DC-DC converter of hybrid energy storage systems in electric vehicles |
title_short |
Comparison analysis between PI and adaptive controllers for DC-DC converter of hybrid energy storage systems in electric vehicles |
title_full |
Comparison analysis between PI and adaptive controllers for DC-DC converter of hybrid energy storage systems in electric vehicles |
title_fullStr |
Comparison analysis between PI and adaptive controllers for DC-DC converter of hybrid energy storage systems in electric vehicles |
title_full_unstemmed |
Comparison analysis between PI and adaptive controllers for DC-DC converter of hybrid energy storage systems in electric vehicles |
title_sort |
comparison analysis between pi and adaptive controllers for dc-dc converter of hybrid energy storage systems in electric vehicles |
publisher |
The Automotive Engineering Centre (AEC), Universiti Malaysia Pahang |
publishDate |
2023 |
url |
http://irep.iium.edu.my/108000/7/108000_Comparison%20analysis%20between%20PI%20and%20adaptive%20controllers.pdf http://irep.iium.edu.my/108000/13/108000_Comparison%20analysis%20between%20PI%20and%20adaptive%20controllers_Scopus.pdf http://irep.iium.edu.my/108000/ https://journal.ump.edu.my/ijame/article/view/9314 https://doi.org/10.15282/ijame.20.3.2023.09.0823 |
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