EV Battery Solutions

Electric vehicles (EVs) are complex multi-domain systems combining mechanical, electronic, and hydraulic components, with the battery at the core of their functionality. At Praxien Tech, we offer advanced Battery Modelling and Simulation solutions to address the intricate design and performance challenges of EV batteries, ensuring optimal results across every stage of development.

Key Offerings in EV Battery Modelling and Simulation

1. Battery Electrochemistry Model
   • Solves the Newman p2D electrochemical equations, providing accurate insights into battery behavior and performance.
2. Li+ Diffusion Simulation
   • Models lithium-ion diffusion in both electrolyte and particles, ensuring a detailed understanding of ion transport dynamics.
3. Predictive Aging Analysis
   • Simulates battery aging using physics-based aging models to predict:
     • Lithium plating effects.
     • Active material cracking and degradation.
     • File layer growth over time.
4. Streamlined Characterization
   • Offers a streamlined approach for battery parameter identification and model customization.
5. Comprehensive Material Library
   • Utilizes an extensive material library in GT-Suite to accurately simulate battery materials and their properties.
6. Temperature-Dependent Simulations
   • Incorporates temperature-dependent material properties for precise thermal modeling, including:
     • Predictive temperature analysis.
     • Thermal management insights for optimal performance.
7. Multi-Scale Simulation
   • Provides a complete simulation solution from electrochemistry to electrode, cell, module, pack, and system levels.
   • Includes the coupling of different physical domains for holistic analysis.

Key Benefits

• Accurate Insights: Detailed simulations provide actionable data for improving battery performance, safety, and lifespan.
• Predictive Aging and Degradation: Early identification of aging effects ensures better design and extended battery durability.
• Optimized Thermal Management: Precise temperature predictions help design efficient cooling and heating systems.
• Accelerated Development: Reduce time-to-market with reliable simulations replacing iterative physical testing.
• Multi-Physics Coupling: Seamless integration of mechanical, thermal, and electrochemical simulations ensures a holistic design approach.

Applications

• Battery Design and Optimization: Develop high-performance, long-lasting batteries for EVs.
• Battery Thermal Management: Optimize thermal control for safe and efficient operation.
• Failure Analysis: Predict and mitigate risks associated with lithium plating, cracking, or excessive aging.
• System Integration: Ensure seamless integration of battery systems with EV architecture.