Work

Intelligent Predictive Energy Management of a Hybrid PV–Battery–Supercapacitor System with a PMSM Drive

Year: 2026

Type: conference-paper

Abstract: This paper presents an integrated predictive energy-management approach for a hybrid photovoltaic (PV)–battery–supercapacitor system supplying a permanent-magnet synchronous motor (PMSM) drive. The architecture combines maximum power point tracking, bidirectional DC-DC conversion, battery protection, supercapacitor-based transient support, DC-link regulation, and PMSM vector control. A MATLAB/Simulink model assessed power sharing, storage behaviour, DC-link dynamics, drive response, and conversion efficiency. Simulated PV power varied between 1.1 and 4.3 kW, battery state of charge remained near 65%, DC-link voltage stayed close to its reference, and overall efficiency reached approximately 92–97%. The results show that the proposed strategy reduces battery stress, compensates short-term power peaks, and supports stable drive operation under variable generation and load conditions.

Source: International Conference on Nuclear and Renewable Energy Resources (NURER)

DOI: 10.3390/engproc2026160013

Authors: Zhadyra Zhumasheva, Ablay Yeraliyev, Murat Kunelbayev, Yernar Zholdassov, Damir Zhangabergen, Ali Tynymbayev, Akerke Sultanmurat

Institutions: Al-Farabi Kazakh National University, Institute of Information and Computational Technologies

Language: English

Topic: Electric and Hybrid Vehicle Technologies

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: hybrid

OpenAlex ID: W7223266936

FWCI:

Cites: 10

Cited by:

Related to: 10