Accelerating the Time to Market of Lithium-ion Batteries with Confidence

Presented by:

  • Thomas Glatz, Technical Specialist, Simulation, AVL

  • Benoit Stalin, Technical Specialist, Battery Cell Testing, AVL

  • Jonathan Rhodes, Technical Specialist, Systems & Controls, AVL

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Oct 3, 2023, 11:45 am EDT

Up to 40% of the total expense of a battery electric vehicle (BEV) is attributed to the battery itself. A significant portion of this cost is directly related to the pace of development and the duration it takes to introduce the vehicle to the market.​

Starting from the initial phases of battery development, assessing and characterizing battery components is critically important. Highly precise measurement techniques with fully automatized workflows, allow for rapid screening and provide inputs for creation of accurate high fidelity cell simulation models. Simulation models enable early design decisions during the development lifecycle, effectively frontloading the process and promoting key performance indicators (KPIs). ​

Design principles such as the commonization, consolidation, and deletion of components directly affect development time and cost. Design for manufacturability (DFM) as well as design for serviceability and recyclability also have an inpact on cost. These strategies will be supported by the next generation of flexible battery management system (BMS). Combined with simulation models, these resources will facilitate innovation while reducing complexity and overall costs by allowing engineers to evaluate different components including various cell technologies. ​

Modeling and validation with highly accurate tests on next generation of hardware enables conceptual flexibility, minimal time to market, and competitive confidence.​

Key Takeaways:​

• Addressing the time to market challenge is crucial in battery development​
• AVL’s combined capabilities of testing, simulating, and engineering enables rapid and confident development ​
• Cost reduction strategies and viable production intent solutions are obtainable with a flexible BMS

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