Smart Battery Diagnostic Technology
Battery storage systems have been widely used in various residential, commercial, and industrial applications. Examples include uninterruptible power supply, robots, vehicles, photovoltaic systems, and more. However, unexpected premature battery failures (which are key issues in mission-critical applications) cannot be easily and accurately identified without conducting thorough offline battery characterization - going through charging and discharging processes. Apart from interrupting the normal operation of the batteries, the processes are also lengthy and energy inefficient. In order to ensure the serviceability of the system, batteries are typically replaced after a few years of service based on the site condition, maintenance practice, and experience of the operators. The present technology applies an energy recycling technology and makes use of artificial intelligence to process the sampled battery information for conducting a real-time estimation of the state-of-charge (SOC) and state-of-health (SOH) of batteries. In addition to consuming a very small amount of energy, the estimated SOC and SOH can also assist operators to profile battery utilization to extend the life expectancy of batteries. The technology also allows operators to monitor remotely the battery state and health, and conduct replacement exercise at the optimal time. As the batteries are to be replaced near the end of their life cycle, it will also reduce undesired electronic waste.