Simulations of secondary batteries using 1D and 2D models enable the development of optimal systems and the reduction of development time.
A detailed explanation of the development and system simulation of secondary batteries based on "gPROMS." You can view a case study on lead-acid battery modeling. There is a library for lead-acid batteries. For lithium-ion batteries, we provide support through custom modeling. By combining 1D and 2D models for verification, it is possible to calculate more accurate data and comprehensively consider the physical and chemical phenomena occurring in each battery component. We can also address issues related to battery operation. <1D Model> Mass balance of components Electrolyte and solid phase potentials - Ohm's law and concentrated solution theory Charge conservation (electrical neutrality) Electric double layer at the electrode/electrolyte interface Changes in porosity and loss of electrode surface area Electrochemical reactions - Butler-Volmer equation Sub-models connected through boundary condition systems Battery capacity loss <2D Model> 2D profiles of current, potential, and component concentration Ion transport represented by a more advanced approach: Maxwell-Stefan-Plank diffusion
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Our simulation software consolidates and verifies various tests such as lab tests and technical evaluations based on the results of fundamental research into a "mathematical model," enabling practical battery design, accelerated development speed, and improved accuracy. The development of secondary batteries is accelerating towards improvements and new practical applications. As a systematic approach to efficiently connect the results of fundamental research to product development and design, and to achieve the rapid market introduction of new products, we have a library for lead-acid batteries. For lithium-ion batteries, we provide custom modeling. It is an essential analysis tool. We have a library for lead-acid batteries. For lithium-ion batteries, we provide custom modeling.
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Secondary battery system development
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Founded in 1997 by the gPROMS development team at Imperial College London, PSE became part of the Siemens Group in 2019 and has been providing products and services in Japan as Siemens Corporation since 2023. gPROMS features a powerful equation-based computation engine that differs from traditional simulators, allowing for seamless handling of both steady-state and dynamic simulations. This enables the effective scaling up of models adjusted with experimental data from batch processing for the design and operational optimization of continuous processing plants. With gPROMS's excellent capabilities in custom modeling, parameter estimation, and optimization, it is possible to quickly build optimal manufacturing processes, resolve issues, and achieve optimization.
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