Lithium-ion batteries have plunged in cost by 97 per cent since their introduction three decades ago, at a rate similar to the drop in solar panel prices, as documented by a study published last March.
Some of the researchers behind that earlier study have now analysed what accounted for the extraordinary savings. They found that by far the biggest factor was work on research and development, particularly in chemistry and materials science. This outweighed the gains achieved through economies of scale, though that turned out to be the second-largest category of reductions.
The new findings were published in the journal Energy and Environmental Science, in a paper by MIT postdoc Micah Ziegler, recent graduate student Juhyun Song PhD ’19, and Jessika Trancik, a professor in MIT’s Institute for Data, Systems and Society.
The findings could be useful for policymakers and planners to help guide spending priorities in order to continue the pathway toward ever-lower costs for this and other crucial energy storage technologies. Their work suggests that there is still considerable room for further improvement in electrochemical battery technologies.
The analysis required digging through a variety of sources, since much of the relevant information consists of closely held proprietary business data. “The data collection effort was extensive,” Ziegler said. “We looked at academic articles, industry and government reports, press releases, and specification sheets. We even looked at some legal filings that came out. We had to piece together data from many different sources to get a sense of what was happening. This included about 15,000 qualitative and quantitative data points, across 1,000 individual records from approximately 280 references.”
Data from the earliest times are hardest to access and can have the greatest uncertainties, but by comparing different data sources from the same period they were able to account for these uncertainties.
Trancik said: “We estimate that the majority of the cost decline, more than 50 per cent, came from research-and-development-related activities.” That included both private sector and government-funded research and development, and “the vast majority” of that cost decline within that R&D category came from chemistry and materials research.
“There were so many variables that people were working on through very different kinds of efforts, including the design of the battery cells themselves, their manufacturing systems, supply chains, and so on. The cost improvement emerged from a diverse set of efforts and many people, and not from the work of only a few individuals.”
The findings about the importance of investment in R&D were especially significant, because much of this investment happened after lithium-ion battery technology was commercialised, a stage at which some analysts thought the research contribution would become less significant. Over roughly a 20-year period starting five years after the batteries’ introduction in the early 1990s, most of the cost reduction still came from R&D.
The study took advantage of an analytical approach that Trancik and her team initially developed to analyse the similarly precipitous drop in costs of silicon solar panels over the last few decades. They also applied the approach to understand the rising costs of nuclear energy.
Trancik continued: “This is really getting at the fundamental mechanisms of technological change. And we can also develop these models looking forward in time, which allows us to uncover the levers that people could use to improve the technology in the future.”
One advantage of the methodology Trancik and her colleagues have developed is that it helps to sort out the relative importance of different factors when many variables are changing all at once, which typically happens as a technology improves.
“It’s not simply adding up the cost effects of these variables, because many of these variables affect many different cost components. There is this kind of intricate web of dependencies. But the team’s methodology makes it possible to look at how that overall cost change can be attributed to those variables, by essentially mapping out that network of dependencies.” This can help provide guidance on public spending, private investments, and other incentives.