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Smart Battery Diagnostic Technology

Technology Overview

Many battery storage systems are located in unattended or remote sites. Thus, unexpected premature battery failure cannot be discovered easily and accurately without on-site visual inspection regularly. To ensure serviceability, those batteries are typically replaced after a few years of service, depending on the site condition and the maintenance practice and experience of the operators.

The proposed diagnostic technology can conduct real-time estimation of the state-of-charge (SOC) and state-of-health (SOH) of batteries. The estimated SOC and SOH can help operators determine the optimal charging profile, discharging control, and capacity balancing scheme for extending the lifetime of the batteries. The system also allows operators to monitor remotely the battery state and health, and conduct replacement exercise at optimal time before any incident occurs.

Technology Features & Specifications

This technology makes use of an energy-recycling technology to charge and discharge battery under test to extract intrinsic parameters with a machine learning technology to determine state-of-charge (SOC) and state-of-health (SOH). By controlling the energy flow between the battery and a supercapacitor through a bidirectional DC-DC converter, the battery current profile and operating mode are controlled. The whole process takes three minutes only, giving a good balance between accuracy and computational speed, suitable for life expectancy estimation.

 

Uniqueness & Competitive Advantages:

• Efficient design and elimination of thermal issues

• Examination of both charging and discharging characteristics

• Extraction of battery intrinsic parameters

• Real-time and online estimation of state-of-charge (SOC) and state-of-health (SOH)

• Remote monitoring support

• Replacement schedule advice 

Potential Applications

Under the support of a government department, the proposed solution has been tested successfully on testing lead-acid batteries on ambulances, mobile post office, and uninterruptible power supply of a data centre.  Moreover, the technology has been transferred to a company to produce portable battery testers.

The potential areas of applications for battery diagnostics:

  • Uninterruptable power supply
  • Electric vehicle     
  • Renewable energy storage system
  • Electric wheelchair

Customer Benefits

The proposed diagnostic technology can conduct real-time estimation of the state-of-charge (SOC) and state-of-health (SOH) of batteries. The estimated SOC and SOH can help operators determine the optimal charging profile, discharging control, and capacity balancing scheme for extending the lifetime of the batteries. The system allows operators to monitor remotely the battery state and health, and conduct replacement exercise at optimal time before any failure or incident occurs. Thus, it could save resources on regular site inspection. As the batteries are to be replaced near the end of their life cycle, it will also reduce undesired electronic waste.

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