Product Update

Beyond Lithium: Explore the Potential of Sodium-Ion Batteries with TWAICE’s New Battery Simulation Model

As the demand for energy storage continues to surge, researchers and engineers are turning their attention to sodium-ion batteries as a promising alternative to lithium-ion. In this whitepaper, we explore the growing demand for sodium-ion technology and explain how TWAICE’s sodium-ion battery simulation model can help engineers gain initial insights into this new technology.

Battery in data cloud
from TWAICE
Dr. Jonas Keil
August 9, 2024
Share the article

Beyond Lithium: Explore the Potential of Sodium-Ion Batteries with TWAICE’s New Battery Simulation Model

Sodium-ion (Na-Ion) battery technology operates on similar principles to lithium-ion batteries, where energy is stored and released through the de-/intercalation of ions in the electrodes.

Unlike lithium, sodium is abundant in nature and widely available, offering a sustainable alternative for energy storage solutions.

Compared to lithium-ion batteries, sodium-ion technology has several compelling advantages and although sodium-ion battery technology is largely still in the research and development phase, significant progress has been made in recent years.

Download the whitepaper and learn more about:

  • The growing demand of sodium-ion technology
  • Recent developments in the industry
  • TWAICE's battery simulation model for sodium-ion
  • Examples and insights from TWAICE's sodium-ion simulation model
Download the whitepaper
Table of contents
  1. Heading
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.

Join Our Demo

Related Stories

TWAICE BESS hierarchy diagram
PRODUCT UPDATE

Managing a BESS Just Got a Lot Easier

Battery energy storage systems generate billions of data points per day, but that doesn’t mean it’s easy to understand what’s going on. Operators often spend hours jumping between dashboards just to answer basic questions. The new BESS Hierarchy Diagram from TWAICE brings everything together in one clear, real-time view — helping teams spot issues faster, plan smarter, and manage their systems with confidence.
TWAICE Product Webinar Summer 2025
PRODUCT UPDATE

What’s New in TWAICE Energy Storage Analytics – Summer 2025

As an owner and operator, you can only get the most out of BESS, when you truly understand what’s happening inside the system. In our latest product webinar, the team shared a host of updates and new tools designed to cut through data overload and boost BESS performance.
PRODUCT UPDATE

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.
Webinar

Beyond Lithium: Introducing TWAICE's New Sodium-Ion Battery Simulation Model 

Explore the fundamentals, growing demand, and advantages of sodium-ion battery technology, including TWAICE's battery model, its potential applications in ESS and EVs, and its environmental and economic benefits.
Aging Models for Lithium-ion Batteries
Webinar

A new generation of aging models for lithium-ion batteries

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. See our LIVE demo!
Battery cell testing in the TWAICE battery lab for battery modeling
Whitepaper

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.
No items found.
Energy
Mobility