S&AS: INT: Autonomous Battery Operating System (ABOS): An Adaptive and Comprehensive Approach to Efficient, Safe, and Secure Battery System Management

有效的电池系统是下一波创新的基石。包括电动汽车(EVS)和固定式储能系统在内的新兴技术需要集成的电池系统来提供持续可靠的电力。软件控制的电池管理系统(BMS)在实现持续创新方面发挥着关键作用，这是一个独特的机会。然而，对于当前的BMS设计，有几个未解决的挑战。由于老化，电池的容量会随着时间的推移而下降，因此电池管理系统必须自动适应电池的变化。此外，未来的BMS系统将需要自主推理能力，以代表用户做出经济合理的决策(例如，以个性化的方式安排电池充电时间)。该项目随着自主电池操作系统(ABOS)的开发，为电池管理系统的设计注入了智能化。ABOS实现了更节能、持久和安全的电池驱动系统。此外，PI将ABOS设计的计算和网络安全方面融入到他们的本科生和研究生课程中。ABOS在同时进行内省和外省学习的同时，促进了自主系统设计的科学。ABO将学习并适应用户发起的充电/放电模式，解释这些模式如何影响电池的健康状态，并对潜在的故障或攻击做出反应。PI和他们的外部合作者将开发一个混合EV模拟环境，以测试ABOS控制物理电池系统的能力。模拟环境将评估ABOS在预测电池状态、最小化操作成本以及处理故障和威胁方面的有效性。

Effective battery systems are a cornerstone of the next wave ofinnovation. Emerging technologies including electric-drive vehicles(EVs) and stationary energy storage systems require integratedbattery systems to provide sustained and reliable power. A uniqueopportunity exists for the software-controlled battery managementsystem (BMS) to play a crucial role in enabling continuedinnovation. However, there are several unaddressed challenges tocurrent BMS design. A battery's decreasing capacity over time dueto aging necessitates that BMS automatically adapt to batterychanges. Furthermore, future BMS systems will require autonomousreasoning capabilities to make economically-sound decisions onusers' behalf (e.g., scheduling battery charging times in apersonalized fashion). This project injects intelligencecapabilities into BMS design with the development of the AutonomousBattery Operating System (ABOS). ABOS enables moreenergy-efficient, long-lasting, and secure battery-driven systems.Furthermore, the PIs incorporate computational and cyber-securityaspects of ABOS design into their undergraduate- and graduate-levelcourses.ABOS advances the science of autonomous system design withsimultaneously introspective and extrospective learning. ABOS willlearn and adapt to user-initiated charging/discharging patterns,reason about how these patterns affect the battery'sstate-of-health, and respond to potential faults or attacks. ThePIs and their external collaborators will develop a hybrid EVsimulation environment to test the ability of ABOS to control aphysical battery system. The simulation environment will evaluatethe effectiveness of ABOS in predicting battery state, minimizingcost of operation, and handling failures and threats.