The industry spent a decade improving cells. The next decade belongs to whoever owns the intelligence layer above them.
The Decade of Chemistry Is Ending
For the better part of fifteen years, progress in energy storage has been told as a chemistry story. Nickel content went up. Cobalt content came down. Lithium iron phosphate went from a budget compromise to the default choice for grid installations. Solid-state moved from laboratory curiosity to the perpetual five-years-away headline. Nearly every meaningful advance in electric vehicles, consumer electronics, and stationary storage was attributed to what was happening inside the cell.
That story is not wrong. It is simply no longer where the leverage is. Commercially available lithium-ion cells now deliver roughly 275 Wh/kg and 750 Wh/L, and industry projections put ongoing energy-density improvement at approximately 4% per year—a rate that has moderated as the chemistry approaches its practical limits. Thicker, denser electrodes hit diminishing returns. Each incremental gain costs more capital, more time, and more manufacturing complexity than the one before it.
Meanwhile, the systems those cells go into have changed beyond recognition. A battery is no longer a pack in a car. It is an array of thousands of modules sitting behind a hyperscale data center, cycling in response to AI training loads that spike and collapse on millisecond timescales. It is a multi-megawatt grid installation arbitraging price signals and bidding into frequency regulation markets. It is a drone fleet where every watt-hour recovered converts directly into mission time.
At that scale, the binding constraint stops being how much energy a cell can hold and becomes how intelligently that energy is routed, sequenced, and recovered. This is the control layer. And 2026 is the year it stops being an implementation detail and becomes the competitive battleground.
The Pivot Nobody Priced In
The clearest evidence of the shift is where the industry’s capital is going. Battery manufacturers built for the electric vehicle boom—Ford, LG Energy Solution, Samsung SDI, Tesla Energy—have been converting EV-oriented production capacity toward grid and data center storage.
Energy storage is projected to represent 41% of total U.S. battery demand in 2026, up from 26% two years earlier. The U.S. Energy Information Administration expects 24.3 GW of new battery storage to come online in 2026, well above the roughly 15 GW record set in 2025. Globally, battery energy storage system shipments grew more than 75% in 2025 to 421 GWh, with projections approaching 600 GWh for 2026.
Those numbers describe more than growth. They describe a change in the physics of the application. An EV pack serves one load profile—a vehicle, driven by a person, under conditions that are variable but bounded. A data center storage system serves an aggregation of loads whose combined behavior is far less predictable and far less forgiving. A grid installation serves a market. As the number of modules under a single point of control rises from hundreds to hundreds of thousands, coordination overhead grows faster than capacity does.
When a battery system has one bank and one load, control is trivial. When it has thousands of modules and a load that changes faster than a human can perceive, control is the product.
Why Control Compounds and Chemistry Does Not
There is an asymmetry between the two layers that is easy to miss.
Chemistry improvements are one-time and pack-specific. A cell that gains 4% in energy density delivers that 4% to whatever system it is installed in, once, and then the gain is banked. Realizing it requires new cell lines, new qualification cycles, and in many cases new pack architecture. The improvement does not travel; each application must re-earn it. And because cell advances typically reach the whole market at once, they rarely produce a durable advantage for any single participant.
Control improvements behave differently. An algorithm that improves switching timing improves it across every installation running that algorithm, and it improves again the next time the algorithm is refined—without touching hardware. Software-defined architectures make this deployable over the air. And because control operates above the cell, it is indifferent to which chemistry sits below it. A control layer that works with NMC works with LFP, works with LTO, and works with whatever the market adopts next.
This is why the control layer scales in a way the chemistry layer structurally cannot. The gains are cumulative, portable across markets, and delivered without capital expenditure on manufacturing.
What This Means for Who Owns the IP
If value is migrating to control, the strategic question becomes who owns the control architecture—and that question is largely settled by patents filed years before the market noticed.
Premergy holds 22 issued and pending patents spanning six technology domains: the Battery Control System itself, multi-chemistry battery architecture, adaptive energy regeneration, solar panel circuit control, mobile device battery management, and homopolar generation. The portfolio was assembled while the industry’s attention was fixed on cells. It covers methods for intelligently switching between battery banks of distinct chemistries based on real-time operating conditions—precisely the capability that large, variable-load installations now require.
The technology was validated in the hardest available environment rather than in simulation. More than 100 dynamometer hours at Clemson University’s International Center for Automotive Research, combined with over 700 miles of on-track validation at Atlanta Motorsports Park, confirmed a greater than 20% improvement in energy efficiency and range against a conventional architecture—with zero thermal events across the entire test program. The thermal management system never needed to activate.
The Companies Making the Pivot Are the Companies That Need the Layer
There is a symmetry here worth stating plainly. The manufacturers converting EV capacity to grid and data center storage are moving into applications where control architecture determines system economics. By that same move, they are becoming the natural licensees for control-layer intellectual property.
This requires none of them to give up a chemistry advantage. Premergy does not compete with battery manufacturers. A control layer makes their cells more efficient, more durable, and more valuable in exactly the applications they are pivoting toward. The commercial logic points toward licensing rather than displacement—per-unit royalties in automotive and drone applications, capacity-based licensing in data centers and grid storage, and subscription structures as those systems become software-defined.
The Test for 2026
The useful question for anyone evaluating this market is not which chemistry wins. It is narrower and more practical:
In a 100 MW installation, where does the next 5% of efficiency come from?
It does not come from a cell that is 4% better next year, because that cell still has to be manufactured, qualified, and installed. It comes from managing the modules already in the ground more intelligently—smoothing peaks, routing charge to whichever bank can absorb it most efficiently at that moment, recovering energy from cycling events, and extending asset life so that replacement capital is deferred.
That is a control problem. It has been a control problem for some time. 2026 is simply the year the market’s capital allocation caught up with the engineering reality.
