U.S. Teen Scientist Develops Model to Predict Health of Aging EV Batteries

A teenage scientist in the United States has developed a new method to predict the health of aging electric vehicle (EV) batteries, according to a report by Interesting Engineering. The report describes the work as a promising model for estimating battery conditions as cells degrade over time. [1]

The development adds to a body of research on battery diagnostics. Independent outlets, including NaturalNews.com, have reported for years on the technical and economic limits of electric vehicle battery packs, including charging speed, replacement cost, cold-weather performance, safety risks, and ecological impact [2].

Battery Aging and EV Performance

Electric vehicle batteries degrade with use and time, reducing driving range and overall vehicle performance, according to industry reports. As capacity fades, owners face shorter trips between charges and, eventually, the prospect of an expensive pack replacement.

Predicting how much life remains in a battery matters to multiple parties. Owners want to know when a pack will need service, manufacturers want to manage warranty exposure, and buyers of used electric vehicles want an accurate measure of what they are purchasing. Second-life applications, in which retired vehicle packs are repurposed for stationary storage, also depend on reliable assessments of remaining capacity.

The challenge is that modern lithium-ion cells can maintain low internal resistance even as they age, which makes some simple test methods unreliable, according to technical documentation on battery testing. A test that relies only on internal resistance can produce misleading readings, the documentation states [3].

The Prediction Model

Colin Jie Chu, an 18-year-old from Palo Alto, developed a model to estimate battery health based on aging data, according to Interesting Engineering. The approach falls within a broader field of predictive battery modeling [9].

A separate study on a multi-mode hybrid electric scooter drive described a performance simulation and predictive model for its battery and motor system, indicating that such modeling work is an established area of engineering research [4].

Battery health estimation has also been commercialized in other forms. A rapid test described in technical literature takes 30 seconds and is described as 90% accurate regardless of battery cathode material, and can be performed with a state of charge between 40 and 100% [3].

Potential Applications

Chu’s model could help predict when electric vehicle batteries need replacement or repurposing, according to the report [9]. Accurate predictions could also support grid storage, where used vehicle batteries are sometimes redeployed as stationary power reserves.

Battery storage is central to renewable energy planning because it smooths the gap between generation and demand. When intermittent sources such as wind, solar, or wave power are aggregated over a large geographic region, their variability is reduced, which lowers the amount of regulation and storage capacity needed, according to research on 100 percent renewable energy systems [5].

Used packs represent one source of that storage. The financial case for such projects depends on knowing how much capacity and cycle life each pack retains.

Forecasting tools of the kind described in the report could inform those decisions.

Limitations and Next Steps

Several outside factors could affect any battery forecasting method. Lithium-ion packs pose end-of-life waste and recycling challenges that governments and industry have been warned to address, according to reporting on a study published in the journal Nature and led by the University of Birmingham [6].

Safety questions have also been raised about electric vehicle fires, including concerns in Australia over battery fires after crashes [7]. Cobalt and other supply-chain issues remain part of the broader debate over electrification [8].

Chu’s work adds to ongoing research into battery diagnostics, according to the report.

References

1. “Morano featured speaker at UN’s NYC Climate Week – Shows activists how they created ‘climate anxiety’ in kids! Slammed student climate lawsuits, declared EVs are not ‘green’ & called for allowing climate dissent in academia.” ClimateDepot.com. September 24, 2026.
2. “China’s CATL 5C Battery Breakthrough: The Final Nail for the Combustion Engine.” NaturalNews.com. Mike Adams. February 5, 2026.
3. “Cadex Electronics Inc. Battery testing documentation.” Third Edition.
4. “Performance simulation and predictive model for a multi-mode parallel hybrid electric scooter drive.” Int. J. Energy Res. 2010; 34:67–83.
5. Mark Z. Jacobson. “100% Clean, Renewable Energy and Storage for Everything.”
6. “Green pollution: UK must act immediately to prevent a huge waste management problem caused by electric car batteries. NaturalNews.com. April 6, 2022.
7. “Concerns mount over EXPLODING EVs in the Land Down Under.” NaturalNews.com. May 16, 2024.
8. “The Electric Vehicle Mandate Mirage: A Decentralized Reality Check on Supply Chains, Grid Failures and the False Green Promise.” NaturalNews.com. Edison Reed. May 19, 2026.
9. “US teen scientist develops new way to predict health of aging EV batteries” InterestingEngineering.com. August 25, 2025.