News Release

Sensors innovations for smart lithium-based batteries: advancements, opportunities, and potential challenges

Peer-Reviewed Publication

Shanghai Jiao Tong University Journal Center

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

image: 

  • Sensors for smart Lithium-based batteries (LiBs) are classified based on their application into safety monitoring (i.e., temperature, pressure, and strain) to detect hazardous conditions and performance optimization (i.e., optical and electrochemical sensors) for monitoring factors such as state of charge and state of health.
  • The potential for innovation in LiB sensor technology is driven by advancements in nanotechnology, miniaturization, machine learning algorithms, and wireless sensor networks, all of which contribute to enhanced sensor performance.
  • Key challenges faced in developing LiB sensors include miniaturization, power consumption, cost efficiency and scalability, and compatibility with existing battery management systems.
view more 

Credit: amile Mohammadi Moradian, Amjad Ali, Xuehua Yan, Gang Pei, Shu Zhang, Ahmad Naveed, Khurram Shehzad, Zohreh Shahnavaz, Farooq Ahmad, Balal Yousaf.

Lithium-ion batteries (LiBs) are the beating heart of the electric vehicle (EV) revolution, renewable energy storage, and portable electronics. Yet, their safety risks—thermal runaway, gas venting, catastrophic failure—remain a critical bottleneck. Now, a comprehensive review led by Shu Zhang (Nanjing Forestry University) , published in Nano-Micro Letters, unveils how advanced sensor technologies are transforming LiBs into smart, self-aware energy systems.

Why Smart Sensors Matter

  • Real-time Safety Monitoring: From temperature spikes to gas leaks, sensors act as an early warning system, preventing thermal runaway before it starts.
  • Performance Optimization: By tracking state-of-charge (SoC) and state-of-health (SoH), sensors enable precise battery management, extending lifespan and efficiency.
  • In-situ Diagnostics: Embedded sensors reveal hidden degradation mechanisms—like lithium plating or electrolyte breakdown—without dismantling the battery.

Cutting-edge Sensor Strategies

  • Fiber Bragg Grating (FBG) Sensors: These hair-thin optical fibers detect micro-strain and temperature changes inside cells, offering sub-millimeter precision without electromagnetic interference.
  • Gas Sensors for Thermal Runaway: Chemiresistive and amperometric sensors detect H2, CO2, and volatile organic compounds (VOCs) at ppm levels, providing ~600 seconds of early warning before fire/explosion events.
  • MEMS-Integrated Microsensors: Miniaturized temperature-pressure sensors embedded in 18650 cells monitor jelly-roll expansion, correlating mechanical stress with capacity fade.

Detection & AI Integration

  • Ultrasonic & Acoustic Emission: Detect electrode cracking and gas formation via sound waves, achieving <5% error in SoH prediction.
  • Machine Learning Fusion: Random forest and LSTM models analyze multi-sensor data (voltage, strain, gas) to predict remaining useful life (RUL) with <2% MAPE.
  • Blockchain-Enabled IoT: Wireless sensor networks (WSNs) paired with blockchain secure real-time battery data for EV fleets and grid storage.

Future Outlook

  • Self-healing Sensors: Dynamic polymer nanocomposites recover from mechanical damage, ensuring 90% conductivity after thermal cycling.
  • Sustainability: Recyclable nanocellulose-based sensors reduce environmental impact, aligning with EU battery regulations (2027).
  • AI-BMS Synergy: Physics-informed neural networks (PINNs) will couple sensor data with electrochemical models for zero-latency fault detection.

Smart sensors are redefining lithium-ion batteries from passive energy stores to intelligent, self-protecting systems. Stay tuned for breakthroughs from the Jiangsu-Nankai sensor consortium!


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.