MEMS based Thermal Sensing for EV Batteries
Type of Proposal
Oral Presentation
Faculty
Faculty of Engineering
Proposal
Micro-Electro-Mechanical Systems (MEMS) sensors are pivotal in enhancing the thermal sensing and management of batteries in electric vehicles (EVs). This abstract proposes to explore the integration of MEMS sensors within EV battery management systems to optimize thermal performance and safety. The focus is on understanding how MEMS sensors can contribute to real-time temperature monitoring, heat dissipation, and the implementation of advanced cooling strategies. Through a review of current research, this study will examine the effectiveness of MEMS sensors in mitigating thermal risks, extending battery life, and improving overall EV performance. Recent advancements in phase change materials (PCMs) and refrigerant-based cooling systems highlight the potential for MEMS sensors to play a critical role in the next generation of thermal management solutions for EV batteries (Ianniciello, Biwole, & Achard, 2018), (Siddique, Mahmud, & Heyst, 2018).
MEMS based Thermal Sensing for EV Batteries
Micro-Electro-Mechanical Systems (MEMS) sensors are pivotal in enhancing the thermal sensing and management of batteries in electric vehicles (EVs). This abstract proposes to explore the integration of MEMS sensors within EV battery management systems to optimize thermal performance and safety. The focus is on understanding how MEMS sensors can contribute to real-time temperature monitoring, heat dissipation, and the implementation of advanced cooling strategies. Through a review of current research, this study will examine the effectiveness of MEMS sensors in mitigating thermal risks, extending battery life, and improving overall EV performance. Recent advancements in phase change materials (PCMs) and refrigerant-based cooling systems highlight the potential for MEMS sensors to play a critical role in the next generation of thermal management solutions for EV batteries (Ianniciello, Biwole, & Achard, 2018), (Siddique, Mahmud, & Heyst, 2018).