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Cal Poly

Modeling and Charging Control of a Lithium Ion Battery System for Solar Panels

Abstract

dc:description.abstract

<p>The advancement in solar panel and battery technology makes them useful for energy supply and storage. This thesis involves the modeling and charging control of a lithium ion battery system for solar panels. The proposed model is based on the parameters and characteristics of a realistic battery and solar panel system; and the hybrid control approach combines the advantages of the adaptive incremental conductance method and the perturb and observe method to track the maximum power point of the solar panel for charging the battery unit. Computer simulation results demonstrate that this proposed approach offers a faster convergence rate than the adaptive incremental conductance method, and less steady-state error than the perturb and observe method.</p>

Degree

thesis:*
Name thesis:degree_name
MS in Electrical Engineering
Discipline thesis:degree_discipline
Electrical Engineering
Year dc:date.available
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Heinen, Garrett David
Contributors dc:contributor
  • Xiao-Hua Yu

Subjects

dc:subject × 5

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.calpoly.edu:theses-2974

Chain of custody

source
Harvested from
Cal Poly
Base URL
digitalcommons.calpoly.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Heinen, Garrett David. Modeling and Charging Control of a Lithium Ion Battery System for Solar Panels. 2017. https://digitalcommons.calpoly.edu/theses/1745