Sensors Innovations for Smart Lithium-Based Batteries: Advancements, Opportunities, and Potential Challenges.

Journal: Nano-micro letters
Published Date: May 27, 2025

Abstract

Lithium-based batteries (LiBs) are integral components in operating electric vehicles to renewable energy systems and portable electronic devices, thanks to their unparalleled energy density, minimal self-discharge rates, and favorable cycle life. However, the inherent safety risks and performance degradation of LiB over time impose continuous monitoring facilitated by sophisticated battery management systems (BMS). This review comprehensively analyzes the current state of sensor technologies for smart LiBs, focusing on their advancements, opportunities, and potential challenges. Sensors are classified into two primary groups based on their application: safety monitoring and performance optimization. Safety monitoring sensors, including temperature, pressure, strain, gas, acoustic, and magnetic sensors, focus on detecting conditions that could lead to hazardous situations. Performance optimization sensors, such as optical-based and electrochemical-based, monitor factors such as state of charge and state of health, emphasizing operational efficiency and lifespan. The review also highlights the importance of integrating these sensors with advanced algorithms and control approaches to optimize charging and discharge cycles. Potential advancements driven by nanotechnology, wireless sensor networks, miniaturization, and machine learning algorithms are also discussed. However, challenges related to sensor miniaturization, power consumption, cost efficiency, and compatibility with existing BMS need to be addressed to fully realize the potential of LiB sensor technologies. This comprehensive review provides valuable insights into the current landscape and future directions of sensor innovations in smart LiBs, guiding further research and development efforts to enhance battery performance, reliability, and safety. Integration of advanced sensor technologies for smart LiBs: integrating non-optical multi-parameter, optical-based, and electrochemical sensors within the BMS to achieve higher safety, improved efficiency, early warning mechanisms, and TR prevention. Potential advancements are driven by nanotechnology, wireless sensor networks, miniaturization, and advanced algorithms, addressing key challenges to enhance battery performance and reliability.

Authors

  • Jamile Mohammadi Moradian
    Institute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
  • Amjad Ali
    Department of Computer Science, University of Peshawar, Peshawar, Pakistan.
  • Xuehua Yan
    Institute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China. xhyan@ujs.edu.cn.
  • Gang Pei
    Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei, 230027, People's Republic of China. peigang@ustc.edu.cn.
  • Shu Zhang
    State University of New York, Department of Radiology, Stony Brook, New York, United States.
  • Ahmad Naveed
    School of Materials Science and Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
  • Khurram Shehzad
    Institute of Physics, Silesian University of Technology, Konarskiego 22B, 44-100, Gliwice, Poland.
  • Zohreh Shahnavaz
    Institute for Advanced Materials, School of Materials Science and Engineering, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
  • Farooq Ahmad
    Department of Computer Science, COMSATS University Islamabad, Lahore, Punjab, Pakistan.
  • Balal Yousaf
    Department of Technologies and Installations for Waste Management, Faculty of Energy and Environmental Engineering, Silesian University of Technology, 44-100, Gliwice, Poland.

Keywords

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