EN3183 Battery Energy Storage System Design, Integration, and Operational Security

This course provides a comprehensive exploration of Battery Energy Storage Systems (BESS), emphasizing design principles, smart grid integration, and operational security in both civilian and military contexts. Students will begin with foundational concepts in energy storage system architecture, power electronics, and load management, progressing to advanced topics in digitalization, cybersecurity, and defense applications. Through extensive use of case studies, students will analyze real-world battery deployments and develop system-level solutions for secure, resilient, and efficient energy storage. Special focus is placed on military use cases, including tactical microgrids, directed energy platforms, autonomous systems, and battlefield logistics.

Prerequisite

A technical background in electrical or mechanical engineering, energy systems, or a related field, with experience in battery storage design, smart grid integration, or power electronics. Familiarity with cybersecurity, military energy applications, or autonomous systems is a plus but not required.

Lecture Hours

4

Lab Hours

0

Course Learning Outcomes

  • Apply advanced concepts in energy storage, power electronics, EMS/BMS control, and system integration to develop a technically sound BESS design that satisfies mission requirements and operational constraints.
  • Use quantitative modeling and simulation tools to analyze and verify system performance, including sizing, dispatch strategies, degradation behavior, environmental stresses, and lifecycle characteristics.
  • Evaluate risks and constraints—including safety, cybersecurity, survivability, ruggedization, and logistical factors—and integrate these considerations into a defensible engineering solution.
  • Communicate findings effectively through a professionally formatted technical report and an analytic briefing, demonstrating information literacy, critical thinking, and applied problem‑solving consistent with graduate‑level expectations.
  • Defend design decisions by articulating tradeoffs among cost, performance, mission impacts, and energy resilience, using evidence‑based reasoning supported by quantitative analysis.