How do your battery cells age and why?
Understand it with batemo!
Challenge
Avoiding battery aging and ensuring the battery lifetime is a major task during battery cell and battery system development. Mastering battery aging is complex: You must cope with nonlinearly coupled cell reactions in the timescale of milliseconds to aging mechanisms that take months. Thus, battery aging testing becomes lengthy. This is a major challenge, especially when technology evolves fast – like in the battery business.
Battery Aging
How much energy can the battery deliver in total?
How much energy can the battery deliver instantaneously?
This is true for many aspects of battery aging and battery lifetime. Let’s make some examples:
- Which battery components age under what conditions and why?
- What measures can I take to avoid aging and extent lifetime?
- How can I optimize the cell design to extent the lifetime?
- How does battery aging change when I go from cyclic aging to calendar aging?
- What is the right approach to predict battery aging?
Answering these questions reliably in the available development time is very hard.
Solution
You need a tool and workflow to master battery aging. Batemo combines a unique battery modeling technology with an efficient methodology to physically identify and predict battery aging. This combination leads to success.
The underlying idea is to use optimized routines to identify aging physically along the different trajectories of the aging tests. On that basis you understand how your cells age and why. Because we integrate the aging identification into the batemo cell model, you simulate the full behavior of aged cells under all tested scenarios. And this what makes aging prediction possible – physics-based.
Fast
Running aging tests takes months if not years. The Batemo Cell Model runs fast and parallelized on clusters. You simulate hundreds of aging scenarios for your application – overnight.
Physical
Getting battery aging right requires to precisely describe all relevant electrical, chemical, thermal and physical processes inside the cell. This is what the Batemo Cell Model does – for the fresh and aged battery.
Accurate
The Batemo Cell Model is the most accurate battery cell model – guaranteed! We always demonstrate the validity both for fresh and aged battery cells to quantify accuracy.
Our methodology for battery aging is very thorough and based on the idea to understand the separate physical processes that cause the battery to age.
In this method, step one to step three are difficult but well understood at Batemo. The fourth step of aging prediction is the hardest problem of battery modeling and an unsolved issue in the battery community. This is true for academia, corporates and us. With Batemo, you are on the technological edge of what is possible today.
Advantages
Faster
With the Batemo Cell Model you generate maximum information with minimum aging testing. This speeds up development and reduces the time to market of your battery.
Better
Using the Batemo Cell Models you understand battery aging. You design battery cells that are less prone to aging. Your battery system is backed by physical aging simulations making it robust against the relevant aging scenarios. This is how you extent the battery lifetime.
Lower Cost
With Batemo you understand battery aging physically. Then you fully utilize your batteries without damaging them. This is how you reduce oversizing and production cost. Just look at your annual cost for cell procurement and subtract 10%.
powered by Borlabs Cookie 