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Massachusetts Institute of Technology

Current Shuttling Cell Voltage Balancers: Design, Evaluation, and Simulation

Abstract

dc:description.abstract

Batteries are becoming increasingly important in a variety of applications, including electric vehicles and ships as well as load matching in electric grids. Cell voltage balancers are critical to extracting maximal performance out of batteries and to extending their lifespan. Charge pump balancers can quickly and efficiently shuttle charge across battery cells to equalize voltages. Component selection of MOSFETs and capacitors is vital in optimizing for performance, cost, and volume. This thesis presents experimental and PSpice simulation data from several capacitor-based charge pump configurations designed for cell voltage balancing. At 0.4 V cell differential, the peak balance current of the 2S balancer was over 9.9 A. At 0.8 V cell differential, the peak balance current of the 4S balancer was over 14.6 A. Ultimately, these charge pumps can be combined to construct a high-current and multilevel cell voltage balancer efficient across a wide range of voltages.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Negm, Mostafa H.
Advisors dc:contributor.advisor
  • Kirtley Jr., James L.
  • Lynch, William A.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/140121
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/140121

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Negm, Mostafa H.. Current Shuttling Cell Voltage Balancers: Design, Evaluation, and Simulation. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/140121