Award Date
5-15-2026
Degree Type
Thesis
Degree Name
Master of Science in Engineering (MSE)
Department
Electrical and Computer Engineering
First Committee Member
Yahia Baghzouz
Second Committee Member
Ke-Xun Sun
Third Committee Member
Emma Regentova
Fourth Committee Member
Brendan O'Toole
Number of Pages
94
Abstract
The rapid advancement of electric vehicle technologies necessitates highly reliable Battery Management Systems (BMS); however, validating embedded supervisory logic presents a notable challenge. While physical pack testing is accurate, it is costly and hazardous for early stage software evaluation. This thesis presents the design, implementation, and rigorous validation of an integrated BMS developed for the Battery Workforce Challenge, bridging the gap between model based design and safe hardware execution. The core of this work is a model based supervisory controller, developed in MATLAB/Simulink and executed on an STM32G4 embedded target. To facilitate embedded validation while preserving a representative battery environment, a split hardware in the loop (HIL) platform was engineered. This architecture runs a dynamic model of a 3,150 cell, 15 module battery pack on a host computer, exchanging compressed signals with the embedded controller via a serial communication link. Through a systematic test campaign of 9 distinct operational and fault scenarios, the system demonstrated highly accurate state transitions, robust fault detection, and strictly bounded protective responses. We present the following contributions: (1) an integrated workflow translating model based logic directly to an STM32G4 target, (2) quantitative HIL validation against a rigorous diagnostic trouble code matrix, and (3) the design of a supporting hardware platform that reduces battery disconnect unit mass by approximately 80% (to 40 lbs) and decreases estimated service replacement costs by an order of magnitude (from $15,000 to $1,500) through a modular pack architecture. Ultimately, this research demonstrates that embedded BMS logic can be effectively validated through a repeatable HIL workflow, accelerating safe deployment for project level hardware.
Keywords
Control Theory; Embedded Systems; Fault Diagnosis; State of Charge; State of Power; STM32G4
Disciplines
Electrical and Computer Engineering | Electrical and Electronics | Engineering
File Format
File Size
3900 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Repository Citation
Sabou, Catalin, "Model Based Control and HIL Verification of an Integrated Battery Management System" (2026). UNLV Theses, Dissertations, Professional Papers, and Capstones. 5621.
https://oasis.library.unlv.edu/thesesdissertations/5621
Rights
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