Experimental Study on Heuristics Energy Management Strategy for Hybrid Energy Storage System

Alok Ranjan (), Sanjay Bodkhe, Gaurav Goyal, Archana Belge and Sneha Tibude
Additional contact information
Alok Ranjan: Department of Electrical Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur 440013, India
Sanjay Bodkhe: Department of Electrical Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur 440013, India
Gaurav Goyal: Department of Electrical Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur 440013, India
Archana Belge: Department of Mechanical and Mechatronics Engineering, Thakur College of Engineering and Technology, Mumbai 400101, India
Sneha Tibude: Department of Electrical Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur 440013, India

Energies, 2024, vol. 17, issue 23, 1-15

Abstract: The energy management strategy (EMS) is a decision-making algorithm for effective power allocation between storage devices in a hybrid energy storage system (HESS). Source voltages, state of charge (SOC), the terminal voltage of the load, and the rate of change in the battery current must be considered while implementing the EMS and, hence, they are termed as performance indicators. This research work focuses on the development of an EMS, designed to manage the performance indicators of the sources (terminal voltage and battery current rate) and ensure efficient power distribution through a shared bus topology. A shared bus topology employs individual converters for each source, offering efficient control over these sources. Rule-based fuzzy logic control ensures efficient power distribution between batteries and ultracapacitors. Additionally, hardware has been developed to validate the power allocation strategy and regulate the DC-link voltage in the energy management system (EMS). dSPACE MicroLabBox is utilized for the implementation of real-time control strategies. A battery and an ultracapacitor bank are utilized in a hybrid energy storage system. The simulation outcomes have been corroborated by experimental data, affirming the efficacy of the proposed energy management strategy. The proposed EMS achieves a 2.1% battery energy saving compared to a conventional battery electric vehicle over a 25 s duration under the same load conditions.

Keywords: battery; energy management strategy; energy storage; ultracapacitor (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/23/5850/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/23/5850/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:23:p:5850-:d:1526791

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().