Nanotechnology Now – Press Release: Sensors innovations for smart lithium-based batteries: advancements, opportunities, and potential challenges


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

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

Abstract:
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.

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


Shanghai, China | Posted on August 8th, 2025

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 Machine Learning Fusion: Random forest and LSTM models analyze multi-sensor data (voltage, strain, gas) to predict remaining useful life (RUL) with 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!

####

For more information, please click here

Contacts:
Bowen Li
Shanghai Jiao Tong University Journal Center

Office: 021-62800059

Copyright © Shanghai Jiao Tong University Journal Center

If you have a comment, please Contact us.

Issuers of news releases, not 7th Wave, Inc. or Nanotechnology Now, are solely responsible for the accuracy of the content.

Bookmark:
Delicious
Digg
Newsvine
Google
Yahoo
Reddit
Magnoliacom
Furl
Facebook

Paper:

News and information


New class of protein misfolding simulated in high definition: Evidence for recently identified and long-lasting type of protein misfolding bolstered by atomic-scale simulations and new experiments August 8th, 2025


Deciphering local microstrain-induced optimization of asymmetric Fe single atomic sites for efficient oxygen reduction August 8th, 2025


Lab to industry: InSe wafer-scale breakthrough for future electronics August 8th, 2025


New imaging approach transforms study of bacterial biofilms August 8th, 2025

Possible Futures


ICFO researchers overcome long-standing bottleneck in single photon detection with twisted 2D materials August 8th, 2025


New molecular technology targets tumors and simultaneously silences two ‘undruggable’ cancer genes August 8th, 2025


Simple algorithm paired with standard imaging tool could predict failure in lithium metal batteries August 8th, 2025


First real-time observation of two-dimensional melting process: Researchers at Mainz University unveil new insights into magnetic vortex structures August 8th, 2025

Sensors


Quantum sensors tested for next-generation particle physics experiments: New research shows that the specialized sensors can detect particles more precisely April 25th, 2025


Quantum engineers ‘squeeze’ laser frequency combs to make more sensitive gas sensors January 17th, 2025


UCF researcher discovers new technique for infrared “color” detection and imaging: The new specialized tunable detection and imaging technique for infrared photons surpasses present technology and may be a cost-effective method of capturing thermal imaging or night vision, medica December 13th, 2024


Nanofibrous metal oxide semiconductor for sensory face November 8th, 2024

Announcements


Deciphering local microstrain-induced optimization of asymmetric Fe single atomic sites for efficient oxygen reduction August 8th, 2025


Japan launches fully domestically produced quantum computer: Expo visitors to experience quantum computing firsthand August 8th, 2025


ICFO researchers overcome long-standing bottleneck in single photon detection with twisted 2D materials August 8th, 2025


New molecular technology targets tumors and simultaneously silences two ‘undruggable’ cancer genes August 8th, 2025

Interviews/Book Reviews/Essays/Reports/Podcasts/Journals/White papers/Posters


New molecular technology targets tumors and simultaneously silences two ‘undruggable’ cancer genes August 8th, 2025


Simple algorithm paired with standard imaging tool could predict failure in lithium metal batteries August 8th, 2025


First real-time observation of two-dimensional melting process: Researchers at Mainz University unveil new insights into magnetic vortex structures August 8th, 2025


Lab to industry: InSe wafer-scale breakthrough for future electronics August 8th, 2025

Energy


Simple algorithm paired with standard imaging tool could predict failure in lithium metal batteries August 8th, 2025


Portable Raman analyzer detects hydrogen leaks from a distance: Device senses tiny concentration changes of hydrogen in ambient air, offering a dependable way to detect and locate leaks in pipelines and industrial systems April 25th, 2025


KAIST researchers introduce new and improved, next-generation perovskite solar cell​ November 8th, 2024


Groundbreaking precision in single-molecule optoelectronics August 16th, 2024

Automotive/Transportation


Simple algorithm paired with standard imaging tool could predict failure in lithium metal batteries August 8th, 2025


Portable Raman analyzer detects hydrogen leaks from a distance: Device senses tiny concentration changes of hydrogen in ambient air, offering a dependable way to detect and locate leaks in pipelines and industrial systems April 25th, 2025


Leading the charge to better batteries February 28th, 2025


Researchers are cracking the code on solid-state batteries: Using a combination of advanced imagery and ultra-thin coatings, University of Missouri researchers are working to revolutionize solid-state battery performance February 28th, 2025

Battery Technology/Capacitors/Generators/Piezoelectrics/Thermoelectrics/Energy storage


Deciphering local microstrain-induced optimization of asymmetric Fe single atomic sites for efficient oxygen reduction August 8th, 2025


Simple algorithm paired with standard imaging tool could predict failure in lithium metal batteries August 8th, 2025


Enhancing power factor of p- and n-type single-walled carbon nanotubes April 25th, 2025


Researchers are cracking the code on solid-state batteries: Using a combination of advanced imagery and ultra-thin coatings, University of Missouri researchers are working to revolutionize solid-state battery performance February 28th, 2025

Leave a Reply

Your email address will not be published. Required fields are marked *