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The game-changer for battery development

Three questions for: A battery modeling engineer

Mercedes-Benz is just the latest in a long line of companies committing to an all-electric product line-up. Central to this transition in the mobility space is the lithium-ion battery. Outside the automotive industry, these batteries are already a key technology.

But while the battery is a powerful enabler, it can also be an Achilles’ heel. We talked to TWAICE battery modeling engineer Goku, who explains the most pressing issues.

Simulation models are at the heart of Goku’s work.

Goku, what are the major challenges within battery development processes?

The lithium-ion battery certainly has its plus points, in particular during operation, but the development phase can often be challenging: development cycles tend to be lengthy and expensive. Think of a manufacturer who needs to test not only the battery packs but also the interactions with components surrounding it for reliability and safety. This requires hundreds to thousands of person hours, not to mention the cost of lab equipment, prototypes, and electricity. All too often, we see the disastrous consequences of cutting corners during development that turn batteries into a liability. This is where TWAICE battery simulation models come in.

And how exactly do simulation models work?

Simulation models are software representations of a real physical system. For TWAICE, the lithium-ion battery, in all its complexity, is the system. We build robust simulation models based on data acquired at our in-house labs. We study three major battery behaviors: how it responds to a requested current, how much heat would be generated as a result and, in the long term, how the battery will degrade. This constitutes the electrical-thermal and aging components of our coupled model (see fig.). And these components, along with their interdependencies, form the basis of our models. We test batteries in a diverse range of conditions and the resulting data is used to build the simulation model based on a transfer learning approach. The model is then validated extensively with a variety of profiles, both real world and synthetic, to ensure accuracy.

The TWAICE models consist of electric-thermal (ET) and aging components.

Once ready and tested for accuracy, how do TWAICE simulation models empower customers?

Our simulation models can be deployed in several key use cases, for example during cell selection, battery system design or application design. The simulations can compare cell performance, the impact of different charging and operating strategies on battery aging and can also avoid oversizing of batteries. This is how our customers can save money on their batteries. By simulating the battery size and aging behavior, our customers can choose the most suitable system design without compromising performance over lifetime. And time-to-market will be greatly reduced, which results in a competitive advantage.

We continually add to our list of common cells, all of which we then add to our Model Library. And TWAICE keeps up to date about new cell models in the industry. This ensures quality, thanks to our streamlined modelling approach combined with years of battery experience and a high degree of automation.

To find out more about TWAICE simulation models, contact us:

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TWAICE provides predictive analytics software that optimizes the development and operation of lithium-ion batteries. TWAICE’s core technology is the digital twin – a software that combines deep battery knowledge and artificial intelligence to determine the condition and predict aging and performance of batteries. This makes complex battery systems more transparent, effective and reliable. As the leading battery analytics software for global players in the mobility and energy sectors, TWAICE is committed to increasing the lifetime, efficiency and sustainability of the products that power the economy of tomorrow.

Press Contact & Information:
Anna Lossmann | |

Author: TWAICE

Published: 6 August 2021

Location: Munich