APPLICATION AREAS FOR BATIXT EIS SENSING TECHNOLOGY

Batixt R3 Sensing Technology for batteries is unlike more traditional EIS that has limited traction beyond R&D contexts. The technology has greater potential to be applied throughout the entire battery value chain. The speed and comprehensiveness of Batixt measurements remove most of the previous constraints associated with EIS. We make EIS both easier and more relevant to use in manufacturing and all areas of industry where battery characterisation, testing and evaluation is needed. 

Here, the potential of Batixt R3 EIS Sensing Technology is explored for three of the main application areas 

BATTERY RESEARCH & DEVELOPMENT 

CELL MANUFACTURING

MODULE AND PACK MANUFACTURING

Electrochemical Impedance Spectroscopy (EIS) is renowned as a leading method for battery characterisation and plays a crucial role in battery testing and evaluation, offering a detailed, non-destructive approach to understanding the electrochemical processes within a battery.

Batteries are tested and evaluated throughout the value chain for different reasons. This can be to evaluate designs in R&D, for quality control in manufacturing or upon deployment of batteries from OEMs, to help consumers evaluate the condition of their batteries, to evaluate second-life potential or as a part of monitoring a battery in any given setting such as energy storage. 

Batixt sensing capabilities make EIS significantly more competent, relevant and useful when it comes to testing or evaluating a battery in any context, but especially when larger volumes of batteries need to be evaluated in a short period of time.

Common uses for EIS characterisation in battery testing and evaluation are:

  • Assessing battery State of Health (SoH)
  • State of Charge (SoC) estimation
  • Performance characterisation
  • Battery impedance profiling
  • Detecting early-stage faults
  • Understanding battery aging
  • Electrode and electrolyte analysis
  • Comparative testing and benchmarking
  • Temperature and environmental impact testing
  • Real-time monitoring in Battery Systems
  • Modelling and predictive maintenance