Tag: Battery Modeling
Lithium Plating Detection: How Virtual Sensors Enable Smarter Fast Charging
Fast Charging Pushes Li-ion Batteries Toward a Hidden Risk Fast charging has become a defining requirement for modern electric vehicles and battery-powered systems. Users expect shorter charging times, consistent performance, and reliable operation under all conditions. For simulation, battery control, and engineering teams, this shift raises a shared challenge: predicting and managing internal battery risk […]
BMS Architecture Explained: How a BMS Protects, Balances & Optimizes Batteries
In the previous blog, we discussed how the underlying architecture of a battery management system (BMS) is very similar to our central nervous system. The BMS relies on sensors (sensory organs) to make real-time decisions to ensure safety and optimize performance of the battery pack. From a simulation perspective, this architecture provides the foundation for […]
Combining Physics and Machine Learning to Predict Battery Aging with Confidence
Battery technology is evolving rapidly to meet the growing demands of electric vehicles, large-scale energy storage systems, and portable electronics. A major challenge lies in reliably predicting long-term battery performance within practical development timelines. Because batteries degrade gradually during both use and storage, conventional testing methods take a long time to produce accurate lifetime estimates. […]
Using Toshiba’s Battery Electrochemical Models to Make System-level Decisions Faster
Eliminate the Guess Work in Battery Modeling Selections System-level design engineers have a difficult task. They deal with challenging questions such as: What Lithium-ion cells work best for a particular application; How many cells should be placed in series and parallel; or What type of motor and drive technology should be used? They have to […]
How Simulation Accelerates the Development of eVTOL Aircraft for Taxi Services
Unlocking the Potential of eVTOL Aircraft for Taxi Services: Advancing On-Demand Transportation Safely and Efficiently The world is rapidly advancing towards an integrated and accessible on-demand transportation network. Electric Vertical Takeoff and Landing (eVTOL) vehicles have emerged as the ideal solution for the near future, offering faster and more efficient travel options. However, ensuring the […]
Mitigating the Domino Effect of Battery Thermal Runaway with Simulation
What Happens During Battery Thermal Runaway? As the world continues to move towards a more sustainable future, so does the popularity of electric vehicles. While the benefits of electric vehicles are many, one of the key challenges is ensuring that the battery packs used in these vehicles are safe and reliable. In the context of […]
Using Simulation To Predict Battery Aging for Real World Applications
Learn how to predict battery lifetime and make confident battery warranty decisions by combining a minimal amount of available data with physics-based simulation software.
Sensitivity Analysis: How to Rank the Importance of Battery Model Parameters Using Simulation
What is Sensitivity Analysis? Sensitivity analysis is the study of how uncertainty in a model output (or response) can be attributed to different sources of uncertainty in the model inputs (or factors). These analyses are powerful tools for modeling and simulation activities, as they allow the modeler to identify the most and least influential parameters […]
How a Catastrophic Ship Fire Reminded us Why Battery Thermal Runaway Simulation is Important
A few weeks ago, a 656-foot-long ship known as the Felicity Ace caught fire in the North Atlantic as it was transporting its cargo, including various automotive luxury brands, from Germany to Rhode Island. The fire broke out in the ship’s hold and continued to spread. Thankfully, all 22 crew members safely abandoned the vessel. […]