About
The Battery and Mobility Systems (BMS) Lab serves as a platform for research, development, and education in state-of-the-art battery systems and e-mobility technologies. The lab collaborates closely with industrial partners in the United States and internationally to advance the potential of electrification. It is also a space where students bring their ideas to life, fostering innovation and the development of breakthrough technologies in the field of mobility and energy storage.
Contact
Dr. Chen Duan
Assistant Professor of Electrical Engineering
cduan@kettering.edu
The pioneering technology developed in-house at the Battery and Mobility Systems (BMS) Lab is currently being commercialized. By integrating solar energy harvesting, battery balancing, and vehicle energy management, this innovation ensures significant improvements in mileage and battery lifespan for next-generation eMobility battery management systems.
The Battery and Mobility Systems (BMS) Lab currently serves as a development hub for two student E-Racing teams: EV Kartz and Formula SAE Electric. Students engage in the entire vehicle development process, including simulation, system design, and integration, while working with DIY battery management systems, custom battery packs, and powertrain control units. The EV Kartz Club achieved remarkable success, winning first place in vehicle design and securing second place overall at the Grand Prix 2023.
From system modeling and simulation to control algorithm development, the Battery and Mobility Systems (BMS) Lab utilizes state-of-the-art toolchains to drive innovation in electric powertrain architectures and control strategies. The lab is actively exploring next-generation eMobility propulsion technologies, while also providing students with hands-on experience in ECU software development. Through these efforts, BMS fosters cutting-edge research and prepares students for the evolving landscape of vehicle electrification.
The core research focus of the Battery and Mobility Systems (BMS) Lab is battery management systems, with an emphasis on battery state estimation and modeling. By leveraging AI-enhanced data processing algorithms, the lab enables accurate and predictive estimation of battery state-of-charge (SOC) and state-of-health (SOH). This approach facilitates multi-physical battery modeling, integrating equivalent circuit models (ECM) with thermal and aging behavior, leading to more efficient, reliable, and intelligent battery management solutions.
The Battery and Mobility Systems (BMS) Lab focuses on hardware and control development for battery management systems, incorporating novel functionalities such as active balancing. This enables customized battery pack designs using different types of cells for variety of eMobility applications.
The Battery and Mobility Systems (BMS) Lab also conducts research on emerging charging technologies, including vehicle-to-grid (V2G) integration and wireless power transfer. The team is currently advancing knowledge in Qi wireless charging for unmanned devices, with a focus on coil optimization and sensor fusion. Key research topics include foreign object detection (FOD) by integrating navigation sensors.
