Energy throughput is the cumulative amount of energy a cell or pack has charged and discharged over its operating life, usually tracked in Ah or Wh by the cell’s own management electronics and rolled up into kWh or MWh for a full pack or system. A BMS accumulates this figure continuously, alongside cycle count and calendar age, as one of the three usage metrics it uses to characterise how hard a battery has actually been worked.
Cycle counting treats every charge/discharge event as roughly equivalent, which is a poor assumption in applications with partial cycles – an EV that’s topped up from 60% to 90% each evening rather than run flat-to-full, or a grid storage system doing several shallow cycles a day for frequency response. Energy throughput sidesteps this by simply totalling the actual Ah or Wh moved, regardless of how deep or shallow any individual event was, so two very different usage patterns that have moved the same total amount of charge show up as comparable wear.
This is closely related to the Equivalent Full Cycle (EFC): the running throughput divided by the cell’s nominal capacity, which turns an arbitrary mix of full and partial cycles into one comparable number that can be checked against a cell’s rated cycle life [1]. Some BMS implementations sum charge and discharge Ah separately, in which case the total needs halving before it is compared with nominal capacity – worth checking which convention a given datasheet or BMS is using before comparing figures between systems.
Because throughput tracks actual usage rather than the passage of time, it tends to correlate with degradation better than calendar age alone in systems that are cycled hard, and it shows up directly in warranty terms as a result: stationary storage warranties in particular are commonly capped by a maximum MWh throughput as well as by a number of years, with whichever limit is reached first ending the coverage.
Example: comparing two very different systems
The figures below use assumed, rounded inputs rather than any specific manufacturer’s data – the aim is to show how far the same metric can scale depending on how a system is used, not to benchmark real products.
- EV pack: 75 kWh, driven daily and effectively completing close to a full cycle every 2 days for 8 years. That’s roughly 1,460 cycles, so lifetime throughput ≈ 75 kWh × 1,460 ≈ 109,500 kWh, around 110 MWh.
- Grid storage container: 5 MWh nameplate capacity, doing 1.5 shallow cycles a day at around 40% depth of discharge for frequency response, over 10 years. That’s roughly 1.5 × 0.4 × 365 × 10 ≈ 2,190 EFC, so lifetime throughput ≈ 5 MWh × 2,190 ≈ 10,950 MWh, almost 11 GWh.
Despite starting from a similar order-of-magnitude nameplate capacity, the grid storage system moves roughly 100 times more total energy over its life, purely because it cycles far more frequently. This is a large part of why grid-scale systems are commonly warrantied on a throughput basis while EV packs are more often warrantied by years or distance instead – throughput is the metric that actually tracks how hard each system is being worked.
References
- Jorn M. Reniers, Grietus Mulder, Sina Ober-Blöbaum, David A. Howey, Improving optimal control of grid-connected lithium-ion batteries through more accurate battery and degradation modelling.
- Yuliya Preger, Heather M. Barkholtz, Armando Fresquez, Daniel L. Campbell, Benjamin W. Juba, Jessica Romàn-Kustas, Summer R. Ferreira, Babu Chalamala, Degradation of Commercial Lithium-Ion Cells as a Function of Chemistry and Cycling Conditions, Journal of The Electrochemical Society, 167 120532, 2020.
See also: State of Health, the Battery Management System overview, and Cell Cycle Lifetime.