Technical Insights

Expert Columns & Technical Explanations for Next-Generation Battery Development

次世代バッテリー開発に向けた専門コラム・技術解説

Chemistry

DFT Calculation of Organic Cathode Redox Potentials: A Case Study using Agentic AI

A brief look at predicting redox potentials for organic active materials, exploring how Agentic AI can assist non-specialists with quantum chemical calculations.

Electrolyte

High-Throughput Simulation and Parameter Identification of Battery Electrolytes

Details our hybrid high-throughput GFN2-xTB and mass transport emulator approach to extract transport properties, validated against experimental data.

Analysis

Basics of DRT Method in EIS Analysis and its Application to Lithium-Ion Batteries

Explains the basics and practice of converting complex impedance spectra into Distribution of Relaxation Times (DRT) to separate and visualize resistance components, such as electrode reactions and diffusion, with high resolution.

Simulation

Bridging Physical Models to Circuit Simulators: SPMe to SPICE

Introduces a method to seamlessly convert and link electrochemical models, which describe internal battery states, into equivalent circuit models that are easy to use in system design.

Modeling

Why is Parameter Identification for Battery Physical Models (SPM/DFN) So Difficult?

Explains the "Garbage in, Garbage out" problem unique to battery models with many intertwined physical parameters, and a practical approach (multi-step identification) to solve it.

Control

Practical Challenges in Fast Charging Design: Models and Physical Testing (Coming Soon)

Discusses the role of physics-based models in fast charging design and why empirical validation remains a critical part of the development process.

Modeling

Analyzing Battery Degradation: Combining dQ/dV and Physics-Based Models (Coming Soon)

A discussion on understanding loss of lithium inventory (LLI) and loss of active material (LAM) by combining dQ/dV curve analysis with physics-based models.

Economics

Simplified Cell Design and Economics: Balancing Energy Density, Power, and Material Cost (Coming Soon)

A basic framework for cell engineering that links physical dimensions (thickness, porosity) to both electrochemical performance and material cost scaling.

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