Modeling, control, and design of hybrid electrical and thermal energy storage systems

Laird, Cary

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https://hdl.handle.net/2142/110452 Copy

Description

Title

Modeling, control, and design of hybrid electrical and thermal energy storage systems

Author(s)

Laird, Cary

Issue Date

2021-04-19

Director of Research (if dissertation) or Advisor (if thesis)

Alleyne, Andrew G

Department of Study

Mechanical Sci & Engineering

Discipline

Mechanical Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Physics-Based Modeling
• Control Systems
• Mobile Energy Systems
• Energy Storage Systems
• Design Optimization

Abstract

Advances in power density, energy storage technology, and thermal management are crucial to the increased electrification of vehicles, including those with high ramp rate loads such as heavy construction and military vehicles. In this thesis, a hybrid electro-thermal energy storage system is introduced which offers a power-dense electro-thermal energy storage solution for future electrified vehicles. This energy storage system includes energy-dense batteries and power-dense ultracapacitors for electrical energy storage, and PCM thermal energy storage modules and coolant loops for thermal energy storage. Multi-domain graph-based modeling techniques are used to facilitate modeling, control, and design optimization of the energy storage system. Graph-based models capture multi-domain dynamics in a unified framework. A heuristic control strategy is used, which seeks to protect the energy storage elements while maintaining references. Sizing and control parameters of the electro-thermal energy storage system are optimized using a graph-based optimization framework. Optimized designs demonstrate significant reductions in size while retaining a high level of performance, leading to improvements in power density. A multi-domain optimization formulation is compared to optimization subroutines which individually optimize parameters pertaining the electrical and thermal domains. Additionally, the multi-domain sizing and control optimization study is compared to a similar study in which the control parameters are not optimized. The results accentuate the importance of considering multi-domain dynamics as well as control in the design process for dynamic systems.

Graduation Semester

2021-05

Type of Resource

Thesis

Permalink

http://hdl.handle.net/2142/110452

Copyright and License Information

Copyright 2021 Cary Laird

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