A six-step multiphysics simulation uses electrical and thermal parameters to design and validate any battery model.
Battery powered electric vehicles (EVs) and hybrid electric vehicles (HEVs) have been gaining market share as the public’s environmental concerns and the depletion of fossil fuels drive the demand for better fuel efficiency. But great improvements in the mileage one can drive before recharging, a faster recharging method, and the creation of a recharging infrastructure akin to today’s gas stations are needed before fully electric vehicles will be practical for day-to-day use.
An increase in battery efficiency is one of the biggest challenges engineers face. While Li-ion batteries are currently the best option available, they are by no means the ultimate in battery technology: there is much room for improvement. The high mass of Li-ion batteries reduces fuel efficiency in automobiles, and their potential flammability makes them dangerous, particularly in the event of a crash. Researchers worldwide are trying to develop a better battery to replace Li-ion technology. For now, optimizing the configuration of Li-ion batteries is the best method for increasing battery performance.
Click here to read more.
New market opportunities and global competitiveness are limited by qualified people.
Better algorithms and more data could bolster adoption, particularly at advanced nodes.
Showing that a processor core adheres to a specification becomes more difficult when the specification is extensible.
Smaller features and AI are creating system-level issues, but traditional ways of solving these problems don’t always work.
Improvement still needed for uptime, defectivity, line edge roughness and process flows.
2019 will be a year of change for the semiconductor industry as new fields drive technological advancements.
What hoops will designers have to jump through to avoid concurrency bugs?
This new communications standard could transform architectural decisions across the industry, but not right away and not necessarily in obvious ways.
Maximum flexibility is no longer the reliable path to product success. While flexibility must be there for a purpose, it also can be a liability.
Why managing power is becoming more difficult, more critical, and much more expensive.
Analog circuitry stopped following Moore’s Law a long time ago, but that hasn’t always helped.
Battery-powered designs require complex optimizations for power in the context of area, performance and functionality.
Accuracy is a relative term that complicates design and verification. Machine learning makes the industry face some of those realities head on.
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
Leave a Reply