Do you want to build the best thermal system ?

Design it with Batemo !

Challenge

Imple­men­ting an effec­tive battery thermal manage­ment system is indis­pen­sable to maximize battery perfor­mance while ensuring safety and longe­vity under all opera­ting conditions. Yet, it imposes a signi­fi­cant challenge, as numerous objec­tives, practical constraints and design variants must be consi­dered. Designing a cooling concept for a new battery system proto­type or optimi­zing the design of an existing system means to have precise knowledge of heat genera­tion in the battery, heat storage within and heat trans­port across all compo­nents - something that is missing when techno­logy evolves as fast as in the battery community.

This is true for many aspects of battery thermal manage­ment. Let’s make some examples : 
  • How does the cooling system impact the debalan­cing amongst cells in the module, and how can my BMS account for that ?
  • How does the cooling system impact the tempe­ra­ture, state of charge and current distri­bu­tion within the cell, and how does that change with aging ?
  • Is a bottom or side cooling concept more benefi­cial for my pack ?
  • Which cooling strategy is required to optimize the fast-charging capabi­lity of my pack ?
  • How much space do I safe when switch from water to immer­sion cooling ?
  • How should I design the heat sinks to enable passive cooling of my pack ?
Finding reliable answers to these questions requires to have accurate thermal models. However, the deter­mi­na­tion of a suitable thermal simula­tion approach poses a signi­fi­cant challenge, as sophis­ti­cated multi-dimen­sional thermal models offer higher accuracy, but often demand overw­hel­ming compu­ta­tional and human resources. Achie­ving the optimal balance between simula­tion speed and accuracy for given design objec­tives and project constraints is difficult. 

Solution

You need a universal tool which seamlessly integrates into your simula­tion environ­ment and preci­sely predicts the heat dissi­pa­tion of your battery. And that is what the Batemo Cell Models and the Batemo Cube Model are. Batemos unique battery modeling techno­logy allows to accura­tely predict the dissi­pated heat consi­de­ring exactly your load profile and system design and can be integrated into all commonly used simula­tion tools. Consistent workflows across all length scales allow to connect system design objec­tives with thermal design parame­ters and thereby optimi­za­tion of your thermal manage­ment on total system level. This increases product quality, while simul­ta­neously reducing development time and cost. 
batemo_Folienmaster_Icon_orange_02

Fast

Batemo Cell Models run within seconds on normal office compu­ters. This enables co-simula­tion among different simula­tion environ­ments consi­de­ring large parameter varia­tions and optimi­za­tion workflows.
batemo_Folienmaster_Icon_orange_29

Physical

Only if you split up the physical processes in the cell correctly, you can preci­sely calcu­late the heat dissi­pa­tion in the entire regime of opera­ting conditions, for all cell chemis­tries and formats, inclu­ding entropic effects and hyste­resis behavior. 
batemo_Folienmaster_Icon_orange_09

Accurate

Quanti­ta­ti­vely reliable simula­tion results need exten­si­vely validated models. The Batemo Cell Model is the most accurate battery cell model there is – guaran­teed ! We always demons­trate the validity through exten­sive measu­re­ments that prove highest accuracy. 
Thermal manage­ment contains multiple aspects and occurs on multiple length scales. Holistic thermal optimi­za­tion requires the smart combi­na­tion of different simula­tion tools. The Batemo techno­logy seamlessly integrates into all common simula­tion tools, allowing you to choose exactly the right tool for your challenge at hand. 

Simula­tion Solutions :

Cell Internal

Analyze the local tempe­ra­ture distri­bu­tion in your cell and develop optimized cooling concepts.

System

Optimize the thermal network in your total system, check for debalan­cing in your pack and much more.

3D CFD

Predict the exact tempe­ra­ture distri­bu­tion even in a complex pack geometry and include fluid dynamics.

Cell Internal - Batemo Cube Model

Each indivi­dual Batemo Cube Model repre­sents a fraction of the cell’s active material. By consi­de­ring the heat and current transfer between single Batemo Cube Models, the cell exterior and the passive compo­nents (cell housing or poles), you gain infor­ma­tion about local distri­bu­tions of all internal cell quanti­ties. This helps you to unders­tand, identify and predict local hot spots as well as to develop optimized cooling concepts for your cell. The Batemo Cube Model can be integrated in system simula­tion tools as well as 3D CFD environments. 

Real
battery Cell 

3D Discre­ti­za­tion
with Cube Models

Inner Tempe­ra­ture Distribution 

System Simula­tion

To efficiently couple thermal and electrical effects on module, pack, or system level, system simula­tion tools are the right choice. Batemo Cell Models are natively integrated in MATLAB Simulink, Simscape and AVL Cruise M for easy-to-use model setup and postpro­ces­sing. Additio­nally, Batemo Cell Model FMUs allow integra­tion into all common system simula­tion tools. To optimize your cooling strategy for all opera­tion conditions inclu­ding fast charging, check for debalan­cing in your pack due to thermal – electrical inter­ac­tions, run parameter varia­tions on system design variables and much more. 

3D Compu­ta­tional Fluid Dynamics

When the exact tempe­ra­ture distri­bu­tion is needed in a complex pack geometry or a cooling system inclu­ding fluid dynamics, high fidelity 3D CFD tools are required. Batemo Cell Models are natively integrated in AVL Fire M for easy-to-use model setup and postpro­ces­sing. Additio­nally, Batemo Cell Model FMUs allow integra­tion into all common CFD simula­tion tools. 

development method

  • 1st

    Get the Batemo Cell Model or the Batemo Cube Model to have a physical, parame­te­rized and validated battery cell model. 

  • 2nd

    Integrate the cell model into your system model or CFD model in your preferred simula­tion environ­ment.

  • 3rd

    Identify the best thermal system by varying thermal design parame­ters and compare different cell, module or pack design variants. Consider arbitrary cells, cooling concepts and opera­tion strate­gies, as well as your constraints and your KPIs.

  • 4th

    Do a design of valida­tion experi­ments with a thermal manage­ment system proto­type and get it into your technology.

Advan­tages

Using the Batemo Cell Models and/or Batemo Cube Models digitizes your thermal system design, making it faster, lower cost while leading to better battery systems. This is how we generate value and contri­bute to your success. 
batemo_Folienmaster_Icon_orange_06

Better

Using the Batemo Techno­logy, you will identify the best thermal system design and optimize the cooling strategy of your battery system. This is how you maximize robust­ness, lifetime and electro­che­mical perfor­mance of your system, and enables you to diffe­ren­tiate from compe­ti­tors.
batemo_Folienmaster_Icon_orange_02.png

Faster

With the Batemo Techno­logy, the development of your thermal manage­ment system takes a fraction of time. By digiti­zing your thermal design process instead of building proto­types, you move optimally towards your objec­tives, thereby reducing the time to market of your technology. 
batemo_Folienmaster_Icon_orange_34

Lower Cost

The Batemo techno­logy reduces cost of your thermal system design and optimi­za­tion. Your development gets more efficient saving expenses on proto­ty­ping, testing and enginee­ring time. 

Inter­ested ?

Let’s Take the First step !

Meet the expert