eCite Digital Repository

A digital signal processor controlled smart battery charger for photovoltaic power systems


Muoka, PI and Haque, ME and Gargoom, A, A digital signal processor controlled smart battery charger for photovoltaic power systems, Australian Journal of Electrical and Electronics Engineering, 11, (4) pp. 400-410. ISSN 1448-837X (2014) [Refereed Article]

Restricted - Request a copy

Copyright Statement

Copyright 2014 Institution of Engineers Australia

Official URL:

DOI: doi:10.7158/1448837X.2014.11464443


An off-grid photovoltaic power system requires an energy storage system, especially batteries, for mitigation of variability and intermittency problems, and for assured service reliability and availability. The longevity and reliability of such batteries depend on the effectiveness of the charging system. This paper presents the modelling, simulation and hardware implementation of a four-stage switch-mode charger based on the single-ended primary inductance converter. The digital signal processor based controller implements algorithms for the systemís power balance control, maximum power point tracking to improve charging speed and efficiency, four-stage optimal charging, and systemís protection. The protection algorithm provides over-charge, overdischarge, over-temperature and short circuit protection capabilities. The proposed system has the following advantages: ability to continuously charge the batteries even at reduced solar irradiation, higher efficiency, and use of adaptive thermally compensated set points for optimum performance. A prototype is built and experimental results are presented to validate the simulation results.

Item Details

Item Type:Refereed Article
Keywords:battery chargers, digital signal processing (DSP), maximum power point tracking (MPPT), photovoltaic systems, power converters
Research Division:Engineering
Research Group:Electrical engineering
Research Field:Electrical energy generation (incl. renewables, excl. photovoltaics)
Objective Division:Energy
Objective Group:Renewable energy
Objective Field:Renewable energy not elsewhere classified
UTAS Author:Muoka, PI (Mr Polycarp Muoka)
UTAS Author:Haque, ME (Dr Md Enamul Haque)
UTAS Author:Gargoom, A (Dr Ameen Gargoom)
ID Code:95398
Year Published:2014
Deposited By:Engineering
Deposited On:2014-10-01
Last Modified:2017-11-06

Repository Staff Only: item control page