As industries push for lighter and more energy-efficient solutions, lithium–sulfur (Li–S) batteries are gaining increasing attention. Their appeal is clear: they offer the potential for much higher energy per weight than conventional lithium-ion batteries while using sulfur, an abundant and low-cost material. But while the promise is real, so are the challenges. Unlike lithium-ion batteries, […]
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 […]
Today’s data center industry is facing a massive power crunch. Driven by the explosive growth of AI workloads and a strained electrical grid, the industry is desperate for solutions that can provide firm power solutions and resilience. Second-life (2nd life) batteries, repurposed modules from retired EVs, are a tempting solution to fill this gap at […]
Battery Management Systems (BMSs) play a critical role in ensuring lithium-ion battery packs operate safely, efficiently, and reliably across all operating conditions. As battery systems become more complex and application demands continue to increase, validating BMS algorithms has become significantly more challenging. Building on the previous blog’s overview of BMS architecture for lithium-ion batteries (LIBs), […]
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 […]
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. […]
At Gamma Technologies, our GT-SUITE and GT-AutoLion simulations provide battery engineers and designers robust solutions for modeling and predicting battery performance throughout its lifecycle. Enjoy reading our battery-focused technical blogs to learn more about: Calculating electric vehicle (EV) range Decreasing battery system simulation runtime Vehicle modeling: ICEV & BEV correlation procedure Reducing battery charging time […]
At Gamma Technologies, the goal of our battery suite simulation solutions, through GT-SUITE and GT-AutoLion, is to provide accurate, high-fidelity battery simulation capabilities for reliable prediction of real-world performance. In this blog, I investigate how battery simulation runtime can be saved running hundreds of design optimizations using distributed computing. Depending on the modeling requirements, some […]
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.
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. […]
