Proposal Number:          21-1- A2.01-2849

          

          

   

Subtopic Title:
      Flight Test and Measurement Technologies

          

          

   

Proposal Title:
      A New Multi-Domain Sensing System for Fault Detection and Remaining Useful Life Prediction Monitoring of Lithium-ion Batteries in Hybrid and/or All-Electric Propulsion

          

          

   

Firm:

          

X-wave Innovations, Inc.

          

   

Address:

          

555 Quince Orchard Road, Suite 510, Gaithersburg, MD 20878

          

   

Phone:

          

(301) 200-8368                                                                                                                                                                                

          

   

Name:

          

Dr. Carlos Rentel

          

   

E-mail:

          

crentel@x-waveinnovations.com

          

   

Address:

          

555 Quince Orchard Road, Suite 510, MD 20878 - 1464

          

   

Phone:

          

(301) 200-8067                                                                                                                                                                                

          

   

Name:

          

Jennifer Duan

          

   

E-mail:

          

jduan@x-waveinnovations.com

          

   

Address:

          

555 Quince Orchard, Suite 510, MD 20878 - 1464

          

   

Phone:

          

(301) 200-8368                                                                                                                                                                                

          

   

Estimated Technology Readiness Level (TRL) :                                                                                                                                                          
Begin: 2
End: 4

          

          

     

Technical Abstract (Limit 2000 characters, approximately 200 words):

NASA seeks intelligent monitoring and prognostic for hybrid and/or all-electric propulsion systems.  A key component of these systems is the energy storage sub-system in which Lithium-ion batteries occupy a prominent place. We propose a novel, accurate and cost-effective Multi-Domain Sensing System for Lithium-ion batteries capable of detecting thermal runways earlier and predicting Remaining Useful Life (RUL) more accurately than existing methods. This technology has the capability to detect incipient faults inside Lithium-ion cells in their early stages. This will enable the effective deployment of modern protection mechanisms that are proactive and act to isolate faults with sufficient time before catastrophic effects are detected. This capability is further exploited in our system to tackle the important problem of predicting the RUL of a Lithium-ion battery in a way that promises higher levels of accuracy. All this is accomplished within an Artificial Intelligence and Stochastic-based framework that will take Lithium-ion battery monitoring and prognostics to the next level. The early detection of faults combined with the more accurate prediction of their RUL will ensure lives and assets are protected while improving the operational and ownership cost of energy storage systems based on current or future Lithium-ion batteries.

          

          

     

Potential NASA Applications (Limit 1500 characters, approximately 150 words):

Our technology can be used to enable proactive protection strategies to safeguard lives and assets because it can detect internal incipient Lithium-ion battery faults earlier than current methods. Thermal runway precursors can be detected on time to avoid catastrophic accidents. Our technology also enables a new level in Lithium-ion battery prognostics and condition-based monitoring making it critical in applications where Lithium-ion batteries are used, such as the NASA X-57, vertical takeoff and landing systems, and other space platforms.

          

          

     

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):

Hybrid/all-electric aircrafts, renewables, electric vehicles use Lithium-ion batteries for better levels of performance. The auto industry has invested $200 billion in vehicle electrification in the next four years according to AlixPartners, and this relies on Lithium-ion batteries, which are prompt to spontaneous failures, requiring better mechanisms to detect faults and predict RUL accurately.

          

          

     

Duration:     6