A method of using engineering simulation solutions to optimize battery performance and function by comparing different numerical approaches.
Battery powered electric vehicles (EVs) and hybrid electric vehicles (HEVs) have been gaining market share as the public’s environmental concerns drive the demand for better fuel efficiency.
Apart from the need to improve the mileage one can drive before recharging, battery reliability is another major concern. Effective cooling in intense charge/discharge conditions is crucial to minimizing the risk of operating these batteries in vehicles.
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Disaggregation and the wind-down of Moore’s Law have changed everything.
Different interconnect standards and packaging options being readied for mass chiplet adoption.
Continued expansion in new and existing markets points to massive and sustained growth.
Aging equipment and rising demand are pushing up prices and slowing production.
Experts at the Table: Designing for context, and geopolitical impacts on a global supply chain.
Disaggregation and the wind-down of Moore’s Law have changed everything.
It depends on whom you ask, but there are advantages to both.
Research shows significant improvement in time to market and optimization of key metrics.
Efficiency is improving significantly, but the amount of data is growing faster.
Some designs focus on power, while others focus on sustainable performance, cost, or flexibility. But choosing the best option for an application based on benchmarks is becoming more difficult.
The clock network is complex, critical to performance, but often it’s treated as an afterthought. Getting this wrong can ruin your chip.
Moving forward will require a fundamental reconsideration of logic.
After years of research, chipmakers have started combining ultra low-power designs with advancements in harvesting technology.
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