In this blog, we will take a look at how to predict battery lifetime and performance.
The automotive industry is on the fast track to improving e-mobility—the development of electric-powered drivetrains is predicted to shift vehicle design away from the use of fossil fuels and carbon gas emissions.
The battery has emerged as the most prominent energy storage device to meet changing consumer needs in both the electric mobility and stationary energy storage industries. In fact, all major vehicle original equipment manufacturers (OEMs) have goals to aggressively electrify their fleets, adding electric vehicles (EVs) and hybrid-electric vehicles (HEVs) to their selections—some are even promising to go fully electric in just a few years. As a result, many engineers who have typically worked on conventional vehicles are now being asked to work on EVs and HEVs. As these engineers face the challenges of designing new technologies, the need for modeling and simulation tools for the creation of robust thermal management strategies is critical.
As an automotive designer, cabin comfort is the foundation of customer satisfaction and ultimately, product sales. The rising tide of battery-powered electric vehicles brought a new design challenge to automakers, pushing them to find a way to optimize the sub-systems in the vehicle while avoiding enormous draws on battery power at the same time. This problem is addressed by running transient human thermal and battery tests to optimize for HVAC and battery systems. In this blog, we will understand how an automated coupling process can provide an optimized solution while avoiding the long solve times of highly transient problems.
You’ve likely been reading a lot about failures in lithium-ion batteries in recent years: cell phones spontaneously combusting, major aircraft battery fires, electric car batteries catching on fire.