Skip to content
Publications

Talk · International Conference on Nuclear and Renewable Energy Resources · October 22, 2026

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

Zhadyra T. Zhumasheva, Ablay Yeraliyev, Murat Kunelbayev, Yernar Zholdassov, Damir Zhangabergen, Ali Tynymbayev

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.

Electric and Hybrid Vehicle TechnologiesMultilevel Inverters and ConvertersPhotovoltaic System Optimization Techniquespredictive energy managementhybrid energy storagephotovoltaic systems

More by Murat Kunelbayev