The process of taking a clean energy research discovery and making a prototype, then rigorously testing and refining it for market readiness, requires equipment and expertise that is expensive to acquire, and rarely available when and where you need it.
Energsoft software and battery scientist teams are pushing the envelope on batteries that can store much more energy than current lithium-ion cells with help from Washington Clean Energy Testbeds.
Achieving the 2016 Paris treaty goal of preventive global warming below 2 °C and securing sustainable energy future require ingredients innovations in renewable energy skills. It all starts with battery and renewable energy. And unless these challenges are addressed, the insufficiency of resources, engineering expertise, time to market limitations, and the inability to professionally analyze data to help improve performance and range of electric vehicle or utility batteries could have a substantial impact on the growth of the market and broader adoption of electric vehicles and renewable sources.
While the window of opportunity is finishing, meeting these goals necessitate deploying new research concepts and strategies to accelerate materials finding. Recent advancements in machine learning have offered the science and engineering community with a flexible and rapid prediction framework, making a tremendous impact.
In the lab visit, Energsoft Inc. summarize the recent progress in machine learning approaches for developing renewable energy materials and testing them. We summarize applications of machine learning methods for the theoretical approaches in the key renewable energy technologies, including catalysis, battery, solar cell, and crystal discovery. Energsoft also analyze notable applications resulting in the significant development and discuss critical gaps to further accelerate materials discovery.
The goal is to develop breakthrough, but low-cost, materials and battery designs that can fully utilize new high-performing materials.
Energsoft researchers are also exploring high-energy-density lithium-negative electrodes along with a variety of next-generation positive-electrode materials.
Every advance in high-energy materials requires new knowledge and improvements in battery operations and control.
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Safely getting the longest life and highest performance out of each new material is a critical part of our research.
Energsoft is energy storage intelligence software that helps people see and understand their data. Connect & visualize your data in minutes.
State of the Art Analytics with thousands of batteries collected from hundreds of customers and partners.
Batteries are critical for our clean energy future and PREDICTIVE ANALYTICS IS THE WAY TO IMPROVE