Our modeling and simulation services cover a broad range of industry needs. Our typical clients include battery, fuel cell and electrolytic process equipment manufacturers as well as applications experts in the consumer, medical, automotive, defense or electrolytic process industry

Battery Modeling for Hybrid/Electric Vehicles
Intertek was contracted by a vehicle manufacturer to model and simulate the behavior of lithium-ion batteries using finite element analysis, including discharge/charge characteristics, and thermal phenomena occurring in a lithium-ion battery. We have also been engaged in developing state-of-charge prediction algorithms for lithium-ion batteries for HEVs.

New Battery System for Medical Applications
Intertek was contracted by a medical equipment manufacturer to evaluate a new battery technology for their future products. Experimental battery testing and mathematical model simulations were both utilized in the evaluation process. Mathematical modeling enabled simulations of battery performance characteristics at different operating conditions and thereby accelerated the client's understanding of the new battery system.

New Battery System for Military Applications
A military division wanted to find an environmentally friendly alternative to existing NiCd batteries. Experimental battery testing and mathematical model simulations were both utilized in the evaluation process. Mathematical modeling enabled simulations of thermal phenomena occurring in the battery modules and thereby accelerated the division's of understanding of the new battery system.

Modeling and Simulations of PEMFC
Intertek was contracted by a vehicle manufacturer to model and simulate the behavior of polymer electrolyte membrane fuel cell systems. Mathematical modeling enabled to determine the effects of different designs, material properties and operating conditions to narrow down the range of experimental trials needed to determine performance of prototypes.

Potential and Current Distribution in Electrolytic Processes
A company within the electrolytic processes industry wanted to make design improvements in their process. Mathematical modeling enabled simulations of the current and potential distribution within the electrochemical cell and thereby accelerated the pace of understanding of the new design.

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