The latest version of the TWAICE simulation model, Version 9, introduces the first steps towards a new generation of battery simulation models: The physics-motivated semi-empirical aging models.
from TWAICE
Download the content
Product Update
A New Generation of Aging Models for Lithium-Ion Batteries
August 17, 2023
A New Generation of Aging Models for Lithium-Ion Batteries
Introduction
‍
The ongoing global energy transition, driven by the dual imperatives of environmental sustainability and economic efficiency, has catalyzed the rise of two essential fields: electric vehicles (EVs) and energy storage systems (ESS). At the heart of these innovative technologies lies an essential component — the battery system. Its performance, efficiency, and longevity significantly impact the overall functionality and viability of both EVs and ESS.
‍
Over the last years, scientists have invested a lot of time and resources to optimize semi-empirical, physico-chemical, and data-driven simulation models. All of them show different challenges and limitations. To overcome this dead end, scientists and engineers combine physicochemical-mechanical degradation effects and integrate them into (semi)-empirical as well as data-driven approaches. We call this combination physics-motivated semi-empirical aging models.
The whitepaper covers the following topics:
- The new TWAICEÂ simulation model portfolio:Â base model, customized base model, premium model
- The new generation of physics-motivated semi-empirical aging models:Â OCV aging, degradation modes, understanding the accuracy of models, simulation of swelling force
- Vision and outlook
Download the full whitepaper
Live group demo
See TWAICE Energy Storage Analytics in Action
Sign up for the next live group demo and learn how TWAICE can transform your BESS operations. In just 30 minutes, you’ll get a demo of key features and use cases, and engage with our product experts for a live Q&A.
Related Resources
Speed Up Root Cause Analysis of BESS Issues
TWAICE Energy Storage Analytics is a data analytics software for BESS operations, helping asset managers and performance engineers improve the lifetime, health and safety of their assets. Its features and data visualizations make it easy to pinpoint issues and detect operational risks, but to truly get to the bottom of what is happening, performance engineers must be able to easily access and analyze time-series data. That’s why we built Data Explorer.
How to Avoid Losing Money Because of State of Charge Errors
State of Charge (SoC) errors are one of the biggest headaches in managing and operating battery energy storage systems, and they cost operators millions in lost revenue. TWAICE’s new feature, Penalty Risk Assessment, provides accurate SoC insights to help you avoid these costly outcomes.
Tracking and Enforcing BESS Performance Contracts Just Got Easier
BESS performance guarantees and warranties are packed with critical metrics, from availability, round-trip efficiency (RTE), equivalent full cycles (EFC), State of Health (SoH) to operating conditions like temperature. However, tracking these metrics properly and mapping them to the terms of the contract is a challenge. In this article, we describe how you can use our updated Warranty and Guarantee Tracker.
.webp)
Battery simulations made easy with MATLAB, Simulink and TWAICE
Battery simulation models help companies working with battery powered products to select the best cell for their application to ensure they are long-lasting and reliable.
.webp)
New TWAICE Simulation Model Portfolio
Optimize performance, time-to-market & costs of electric vehicles with TWAICE battery simulation models.
Approaches to battery modeling
Batteries are complex systems whose operation is determined by a variety of factors, making long term projections a challenge. However, it is possible to understand the future conduct of these systems by building models that mimic their behavior and leverage the computational power to perform the required calculations.