How do you minimize the impacts of aging in your batte­ries and systems?

We show you how it is done by
under­stan­ding cell Aging

Chall­enge

Avoiding battery aging and ensuring the lifetime is a major task during battery cell and system development. Maste­ring battery aging is complex: You must account for 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

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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. State-of-the-art battery aging simula­tion methods are based on corre­la­tion: In these methods, aging is predicted by corre­la­ting the battery state-of-health (SOH) with measu­re­ment data via data fitting or AI training.
But: Be careful, this only works accura­tely where data was fitted. 

A Battery is more than a capacity and a pulse resistance.

Corre­la­tive approa­ches are risky because the funda­mental princi­ples are not covered correctly!

This is especi­ally true for the extra­po­la­tion range, which is exactly the one you need.

Solution - Battery Aging Model

You need a tool and workflow to master battery aging. Batemo combines a unique battery modeling techno­logy with an efficient metho­do­logy to physi­cally identify, simulate, and predict battery aging. This combi­na­tion leads to success by making electro­che­mical aging states acces­sible at all stages of your product development process. We use optimized routines to identify the aging mecha­nisms non-invasi­vely along diffe­rent trajec­to­ries of aging tests. Because we integrate the aging identi­fi­ca­tion into the batemo cell model, you can simulate the full behavior of aged cells under all tested scena­rios and beyond. This is what makes aging predic­tion possible – physics-based. 
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Fast

Running aging tests takes months if not years. Get generic evolu­tions to simulate cell aging right away. The data integrates into the Batemo Cell Models and give you the best guess about the aging behavior of your cell before tests are avilable.
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Physical

Getting battery aging right requires all all relevant electrical, chemical, thermal and physical processes inside the cell to be precisely described. This is what the Batemo Cell Model does – for the fresh and aged battery.
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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. 
This is great but let’s get specific: Below, you see the graphical user inter­face of the batemo cell model. With one click, you can put the physical, validated model in an arbitrary aging state. This means that all infor­ma­tion from a test matrix with 3- to 4-digit GBs is available in seconds, exactly for the test that is of interest. How does the cell perform after 650 cycles and 40°C in my system? By aggre­ga­ting the neces­sary infor­ma­tion, you can answer this question immediately. 

development method

Maste­ring battery aging requires simula­tions and tests to go hand-in-hand. A digital development workflow needs to be backed up by tests, anything else is dubious. With Batemo, however, you test speci­fi­cally and the system is secured by predic­ting inter­me­diate states. This is done several times throug­hout the development. In this way, you ensure that nothing happens in the field after­wards. In the essence, what you do is always using all infor­ma­tion you have about battery aging, which is the path to success.

  • 1st

    Bench­mar­king

    Start now! With a physics-based trans­la­tion of the degara­da­tion modes of Batemo’s exten­sive aging database, we derive Generic Evolu­tions of your cell. In this way, you get the best educated guess about the aging behavior of your cell and you can start desig­ning your system now.

  • 2nd

    Quali­fi­ca­tion

    Test speci­fi­cally! The predic­tions must be validated by tests, anything else is unreliable. Enhance the aging predic­tion conti­nuously by your own quali­fi­ca­tion tests. 

  • 3rd

    Development

    Be sure! Use the infor­ma­tion from the quali­fi­ca­tion tests and the aging predic­tions for system development enabling smarter design, longer lifespan, and more efficient battery management.

  • Valida­tion

    Check & Learn! Compare valida­tion results with models and under­stand devia­tions. Reveal the root causes of battery degra­da­tion and under­stand how your cells aged and why.

Advan­tages

Using the batemo cell model combined with physical aging identi­fi­ca­tion makes your cell and battery development simula­tion-based, making it faster, lower cost while leading to better batte­ries. This is how we generate value and contri­bute to your success.

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Faster

With Batemo, you generate maximum infor­ma­tion with minimum aging testing. This speeds up development and reduces the time-to-market of your battery. Just think of the lost revenue caused by a one-month delay in your approval cycle and multiply it by a factor of 6-12.
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Better

Using the Batemo Cell Models you design batte­ries that are less prone to aging. Your battery system is backed by physical aging simula­tions making it robust against the relevant aging scena­rios. You signi­fi­cantly increase the value of your product by exten­ding its lifetime.
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Lower Cost

With Batemo, you fully utilize your batte­ries without damaging them. This is how you reduce oversi­zing, unplanned cell failure and mainten­ance. In this way, you can save 6- to 7-digit amounts annually with moderate initial investment. 

Interested?

Let’s take the first step!

Meet the expert