I had to do a project for my school science fair. And since my dad is the editor in chief of Pro Tool Reviews, it wasnโt hard for me to integrate power tools into my project.ย The purpose of my project was to see if higher watt-hour batteries delivered more workย over a longer period of time. I also wanted to see if it was cheaper over timeย for consumers to buy a battery with more watt-hours, even if it wasย initiallyย more expensive.
Table of Contents
My Hypothesis
My hypothesis was that higher watt-hour batteriesย would yield moreย overall run-time. If my hypothesis was correct, the battery with the most watt-hours would run the longest and drive in the most screws. This could be very useful information for consumers. I also postulated (big word!) that you could mathematically calculate the number of screws a higher-capacity lithium-ion battery would drive. This would be based on testing the โcontrolโ battery and thenย using mathย for the rest.
How to Test Higher Watt-hour Batteries
Thereโs a lot involved in testing batteries accurately. You need plenty of supplies and a fixed tool to run all of the tests. Milwaukee Tool actually supplied me with an M12 brushless drill kitย (2404-22) to run my tests. Theyย also supplied two M12 batteries in each of four different capacities for my testing. They sent alongย extended run models as well in various capacities. For simplicity (and to save both screws and time) I used onlyย the compactย M12 packs.

Setting up the Experiment
To set up the experiment, I first charged all of the batteries to full capacity. Then, my Dadย cut a 4ร8 sheet of 3/4 plywood into 4-inch by 48-inch strips. We then fastened 3 strips together to make a testing board. In all, we need 12 testing boardsโthree for each battery tested. Next, my little brother and I marked each testing board with a half inch grid using a marker, tape measure, and Empire Level laser-etchedย square.
Once marked, weย set up the plywood boards on a pair ofย sawhorses. My dad then inserted aย depth setting #2 Phillips bit into the Milwaukee brushless 12V drill/driver. That gave me the consistent fastening depth to help even out the results. I started with the freshly-chargedย 14Wh battery toย see how many screws it wouldย fasten before the battery died. Then, I recharged the battery and ran this test two moreย times to get an average. On theย higher watt-hour batteries, I was driving a LOT of screws!
Calculating Future Runs Based on the 14 Wh Control
If you remember, I wanted to calculateย the number of screws Iโd driveย beforeย I actually did the physical testing. To do thisย I definedย X asย โthe average number of screws fastened per Wh by the 14 Wh battery (the control)โ.
I derived the formula for finding X byย dividing the average number of screws for the 14 Wh battery โcontrolโ (181 screws) by the number of watt-hours. This yielded the following equation and solution:
Ifย 14 Wh yieldsย 181 screws, thenย X = 181/14 = 12.929 screws per Wh
I then calculated the number of screws that shouldย be fastened with the other batteries using the following formulas and results:
- 16 Wh โข X = 207 screws
- 22 Wh โข X = 284 screws
- 36 Wh โข X = 465 screws
I was now ready to test my calculations using actual batteries and compare my results to the calculated amounts.
Running Tests is Harder Than Math
I had to test each battery threeย times for accuracy. I did this by driving screws into our 3-layer plywoodย boards until eachย battery died. Then, I recharged the battery and re-tested. Next, Iย averaged the number of screws that I drove in for each of the three tests. Finally, I compared my results with the calculated amounts.
Overall, theย actual results and the calculated results were impressively closeโas the data table below shows.ย Only the 36 Wh calculation and estimate were noticeably off compared toย the rest. Notice how the average screws put in for each battery compared to the estimated amount.
The results confirmedย that the more watt hours a battery had, the more screws it could driveย in. It also produced a longer run time. The battery with the lowest number of watt-hours drove in the least screws overall. The battery with the highest number of watt-hours drove in the most screws. This proved my hypothesis more or less correct. The results also show that the 36 Wh battery, even though it had the same voltage as the 14 Wh battery, droveย overย twice as manyย screws.
Evaluating the Results
I talked to my dad aboutย whyย my results drifted awayย from calculated amounts as the batteries grew in capacity. He explained that the higher watt-hour batteries were alsoย newer.ย He further explained thatย better battery technology could affect results simply because there are more factors. Batteries are more than just cells. They involve electronics and controls to monitor heat build-up. This keeps tools and battery packs from overloading and getting damaged.
Battery Capacity andย the Price Per Watt-Hour
After I calculated the above results, I decided to do a couple more calculations to find the price per watt-hour (Wh). What I found surprised me. The higher watt-hour batteries actually cost lessย per Wh. This might be due to volume costs savings or the fact that the larger batteries are also newer. I based the price calculation on the total cost of the battery divided by the number of watt-hours. Hereโs a chart showing what I found (Note: The price for the 14 Wh battery is based on its original pricing. Itโs no longer available):
My graphย shows that the price of the 16 Wh battery is $39, so the cost per Wh is $2.44. For the $49 22 Wh battery that cost per Wh drops to $2.23. Finally, because the price of the 36 Wh battery is just $59, the cost per Wh is only $1.64. Interestingly, the 14 Wh batteryย used to sell for $39, making it the most expensive battery per watt-hour. My calculations have revealed something very interesting.ย It is cheaper over the longer period of time for consumersย to buy aย more expensive battery with more watt-hours. Since higher Wh batteries also accomplish more work before requiring a recharge. That means they also save you time.
Conclusion
In conclusion, I believe that when buying a battery for a tool, you should look for higher watt-hour batteries. Watt-hours areย far more significantโin terms of run-timeโthan higher voltage. Consider this the next time you buy a battery for your cordless power tool.
I had a lot of fun while doing this project for my school science fair. I even got Third Place and made it to County! Who said science couldnโt be fun?





