Storage

Feasible will develop a non-invasive, low-cost, ultrasonic diagnostic system that links the electrochemical reactions taking place inside a battery with changes in how sound waves propagate through the battery. This Electrochemical Acoustic Signal Interrogation (EASI) analysis will bridge the gap in battery diagnostics between structural insights and electrical measurements, offering both speed and scalability. The physical processes of a battery that affect performance are nearly impossible to monitor with standard diagnostic methods.

Lawrence Livermore National Laboratory (LLNL) is developing a wireless sensor system to improve the safety and reliability of lithium-ion (Li-Ion) battery systems by monitoring key operating parameters of Li-Ion cells and battery packs. This system can be used to control battery operation and provide early indicators of battery failure. LLNL's design will monitor every cell within a large Li-Ion battery pack without the need for large bundles of cables to carry sensor signals to the battery management system.

University of Washington (UW) is developing a predictive battery management system that uses innovative modeling software to manage how batteries are charged and discharged, helping to optimize battery use. A significant problem with today's battery packs is their lack of internal monitoring capabilities, which interferes with our ability to identify and manage performance issues as they arise.

Eaton is developing advanced battery and vehicle systems models that will enable fast, accurate estimation of battery health and remaining life. The batteries used in hybrid vehicles are highly complex and require advanced management systems to maximize their performance. Eaton's battery models will be coupled with hybrid powertrain control and power management systems of the vehicle enabling a broader, more comprehensive vehicle management system for better optimization of battery life and fuel economy.

Robert Bosch is developing battery monitoring and control software to improve the capacity, safety, and charge rate of electric vehicle batteries. Conventional methods for preventing premature aging and failures in electric vehicle batteries involve expensive and heavy overdesign of the battery and tend to result in inefficient use of available battery capacity.

Det Norske Veritas (DNV KEMA) is testing a new gas monitoring system developed by NexTech Materials to provide early warning signals that a battery is operating under stressful conditions and at risk of premature failure. As batteries degrade, they emit low level quantities of gas that can be measured over the course of a battery's life-time. DNV KEMA is working with NexTech to develop technology to accurately measure these gas emissions.

Palo Alto Research Center (PARC) is developing new fiber optic sensors that would be embedded into batteries to monitor and measure key internal parameters during charge and discharge cycles. Two significant problems with today's best batteries are their lack of internal monitoring capabilities and their design oversizing. The lack of monitoring interferes with the ability to identify and manage performance or safety issues as they arise, which are presently managed by very conservative design oversizing and protection approaches that result in cost inefficiencies.

Pennsylvania State University (Penn State) is developing an innovative, reconfigurable design for electric vehicle battery packs that can re-route power in real time between individual cells. Much like how most cars carry a spare tire in the event of a blowout, today's battery packs contain extra capacity to continue supplying power, managing current, and maintaining capacity as cells age and degrade. Some batteries carry more than 4 times the capacity needed to maintain operation, or the equivalent of mounting 16 tires on a vehicle in the event that one tire goes flat.

Battelle Memorial Institute is developing an optical sensor to monitor the internal environment of lithium-ion (Li-Ion) batteries in real-time. Over time, crystalline structures known as dendrites can form within batteries and cause a short circuiting of the battery's electrodes. Because faults can originate in even the tiniest places within a battery, they are hard to detect with traditional sensors. Battelle is exploring a new, transformational method for continuous monitoring of operating Li-Ion batteries.

Utah State University (USU) is developing electronic hardware and control software to create an advanced battery management system that actively maximizes the performance of each cell in a battery pack. No two battery cells are alike—they differ over their life-times in terms of charge and discharge rates, capacity, and temperature characteristics, among other things.