Testing and grading with machine learning based algorithms

Battery pack design for highest safety, performance and efficiency

Smart battery analytics for higher uptime, better efficiency and life

SoH prediction

At Nunam, we employ a comprehensive range of methods to accurately predict the State of Health (SoH) of discarded batteries. We conduct rigorous capacity testing, impedance spectroscopy, electrochemical modeling, and leverage machine learning algorithms for higher accurate SoH estimation.

Through capacity testing, we meticulously measure discharge rates, voltage, and current to determine the remaining capacity of the batteries. Impedance spectroscopy enables us to analyze the battery’s impedance at different frequencies, providing valuable insights into its internal resistance and capacitance.

Our advanced electrochemical modeling approach involves developing mathematical models that capture the intricate electrochemical behavior of batteries, allowing us to predict their SoH based on critical parameters. Additionally, we harness the power of machine learning algorithms, considering factors like temperature, charging cycles, and voltage/current measurements to deliver precise SoH predictions.

By accurately predicting the SoH of discarded batteries, we identify those that still possess significant capacity and are well-suited for second-life applications. Our focus is on reducing waste and maximizing the value of these batteries in a sustainable manner.

Battery pack design

At Nunam, the battery pack design takes center stage in enhancing the safety, performance, and efficiency of second-life batteries. Our innovative pack design unlocks the true potential of the second life batteries keeping energy requirements at the forefront. 

Safety is our utmost priority. Our battery pack design incorporates advanced safety features, including robust Battery Management Systems (BMS) and fault detection mechanisms. These cutting-edge technologies ensure optimal protection against overcharging, overheating, and voltage irregularities, providing you with a reliable and secure power solution.

We meticulously analyze and match second-life batteries to create optimized modules. This careful selection process maximizes the capacity and longevity of the batteries, delivering superior power output and longer runtimes. 

Efficiency is ingrained in every aspect of our battery pack designs. We employ streamlined mechanical designs that minimize energy loss and heat dissipation. Our intelligent thermal management systems ensure that your batteries operate at their peak performance by effectively regulating temperature. By reducing wasted energy and maintaining optimal operating conditions, our designs enhance overall efficiency and extend the lifespan of your second-life batteries.

Battery analytics

Experience unparalleled uptimes, unmatched efficiency, and extended battery life like never before.

Bid farewell to unexpected downtimes with our predictive maintenance capabilities. Our advanced analytics monitor battery health in real-time, alerting you to potential issues before they disrupt operations. Stay one step ahead, maximize uptime, and keep your systems running smoothly.

Efficiency takes the spotlight as our intelligent analytics optimize battery performance. Gain valuable insights into usage patterns and behavior. Our sophisticated algorithms fine-tune charging and discharging cycles, ensuring optimal energy utilization and minimizing waste. Witness cost savings and embrace sustainability effortlessly.

Extend the lifespan of your batteries with data-driven intelligence. Our analytics unveil hidden patterns, empowering you to make informed decisions. Optimize battery usage, mitigate degradation risks, and maximize the longevity of your valuable assets.