AIb2.io - AI Research Decoded

Batteries Are Terrible Liars

What if you could watch a battery crack, swell, plate metal where it absolutely should not, and slowly ruin its own future while it is still doing the polite public performance of "charging normally"? That sounds like sci-fi lab goggles nonsense, but it is basically the point of this review by Das, Ma, Wu, and Cheng: if you only look at standard electrochemical readouts, you are often judging a device by its poker face rather than by what is actually happening inside [1].

Batteries Are Terrible Liars

The paper is a 2026 review in Chemical Society Reviews, and its argument is refreshingly blunt. Voltage curves, capacity numbers, impedance plots - useful, yes. Complete story - not even close. The authors pull together more than a decade of in situ and operando characterization studies to show how batteries and supercapacitors hide a lot of the good stuff and the bad stuff in their internal structure, morphology, and chemistry while the device is running [1].

Your Battery Has an Inner Life, and It Is Messy

At a basic level, electrochemical energy storage is about ions and electrons doing a carefully choreographed dance. In batteries, ions often intercalate into materials, meaning they slip into the host structure and later leave again. In supercapacitors, charge can build up at interfaces very quickly, or get stored through fast surface redox reactions called pseudocapacitance. That is the clean textbook version.

The real version is more like: the dance floor warps, somebody spills a drink, two guests start a fight, and the exit door jams.

Das and colleagues argue that to really understand performance, lifetime, and safety, you need to watch devices while they operate. Not after. Not by autopsy. While the chemistry is still happening. That is where operando and in situ tools come in: X-ray methods, spectroscopy, microscopy, magnetic probes, tomography, and combinations of those techniques can reveal phase changes, cracking, metal dissolution, ion plating, gas evolution, and interface growth that ordinary electrochemical tests blur into a neat-looking average [1].

The Annoying Part: Good Numbers Can Hide Bad Physics

This is why the review matters. In energy storage, a respectable capacity number can be the scientific equivalent of "the car still starts," which tells you very little about the smoke coming from under the hood.

Recent papers make that point painfully well. Zhang and colleagues used operando characterization to track metal dissolution and redeposition near battery electrode surfaces, showing that degradation is not some vague background sadness but a dynamic, local process you can actually see and potentially regulate [2]. Huang and co-authors combined operando X-ray computed tomography with machine learning to detect lithium plating in solid-state batteries, which is exactly the sort of sentence that sounds fake until you remember modern science runs on synchrotrons, GPUs, and stubborn people [3]. In 2025, researchers also demonstrated operando magnetic microscopy for imaging battery dynamics and operando microimaging of crystal structure and orientation in all-solid-state batteries, pushing further toward real-time, spatially resolved diagnostics instead of educated guesswork [4,5].

That is the eyebrow-raising theme here: the better we get at looking, the less flattering the simple story becomes.

Why You Should Care Even If You Do Not Own a Synchrotron

This is not just academic nitpicking for people who enjoy turning grant money into diffraction patterns. Better mechanistic understanding feeds directly into better design rules. If you know why an electrode expands, cracks, segregates, or plates lithium, you have a shot at changing materials, architectures, electrolytes, or charging strategies before the failure shows up in a recall notice.

And yes, this matters outside the lab. Utility-scale battery deployment in the United States has been climbing fast. The U.S. Energy Information Administration reported cumulative utility-scale battery storage capacity above 26 GW in 2024, up 66% from the previous year, with more growth planned for 2025 [6]. When hardware is scaling that quickly, "we kind of think this interface is behaving itself" is not the confidence level you want.

The review also lands a quiet but important punch on supercapacitors. These devices are often marketed as the sprinters of energy storage: great power, rapid charge-discharge, huge cycle life. True enough. But as recent methodological reviews note, even identifying the actual charge-storage mechanism can get slippery if your analysis is too simplistic [7]. A curve that looks beautifully rectangular can still tempt people into overconfident claims about what the material is really doing. Science has many traditions. One of them is falling in love with your own graph.

The Catch, Because Of Course There Is a Catch

Operando methods are powerful, but they are not magic. They can be expensive, technically demanding, and sometimes uncomfortably far from real commercial operating conditions. Fancy beamlines are great until the beam itself starts affecting the sample. Multimodal platforms sound wonderful until you have to align them, validate them, and make the data agree with each other instead of starting a custody battle. The review is honest about that, and it is one of the paper's better qualities [1].

So the real takeaway is not "electrochemistry is useless." It is "electrochemistry alone is the trailer, not the whole movie."

If energy storage research wants longer-lived EV packs, safer fast charging, and grid batteries that age with less drama, then peeking inside the box is not optional anymore. It is the job.

References

[1] Das P, Ma J, Wu ZS, Cheng HM. Fundamental understanding of electrochemical energy storage devices via in situ or operando characterization. Chemical Society Reviews. 2026. DOI: https://doi.org/10.1039/D5CS01220A. PubMed: https://pubmed.ncbi.nlm.nih.gov/41773982/

[2] Zhang Y, Hu A, Xia D, et al. Operando characterization and regulation of metal dissolution and redeposition dynamics near battery electrode surface. Nature Nanotechnology. 2023;18:790-797. DOI: https://doi.org/10.1038/s41565-023-01367-6

[3] Huang Y, Perlmutter D, Su AFH, et al. Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning. npj Computational Materials. 2023;9:93. DOI: https://doi.org/10.1038/s41524-023-01039-y

[4] Pollok S, Khoshkalam M, Ghaffari-Tabrizi F, et al. Magnetic microscopy for operando imaging of battery dynamics. Nature Communications. 2025;16:8303. DOI: https://doi.org/10.1038/s41467-025-63409-y

[5] Jacquet Q, Cele J, Casiez L, et al. Operando microimaging of crystal structure and orientation in all components of all-solid-state-batteries. Nature Communications. 2025;16:11524. DOI: https://doi.org/10.1038/s41467-025-66306-6

[6] U.S. Energy Information Administration. U.S. battery capacity increased 66% in 2024. March 12, 2025. https://www.eia.gov/todayinenergy/detail.php?id=64705

[7] Pholauyphon W, Charoen-amornkitt P, Suzuki T, Tsushima S. Guidelines for supercapacitor electrochemical analysis: A comprehensive review of methodologies for finding charge storage mechanisms. Journal of Energy Storage. 2024. DOI: https://doi.org/10.1016/j.est.2024.112833

Disclaimer: This blog post is a simplified summary of published research for educational purposes. The accompanying illustration is artistic and does not depict actual model architectures, data, or experimental results. Always refer to the original paper for technical details.