Skip to main content

Tesla Model S - Cost of driving, electric vs. gasoline

I've had a Tesla Model S for a few months now. How much does it cost me to drive it each day?

Electric vehicles are more efficient than gasoline vehicles. fueleconomy.gov says:

"Electric vehicles convert about 59%–62% of the electrical energy from the grid to power at the wheels—conventional gasoline vehicles only convert about 17%–21% of the energy stored in gasoline to power at the wheels."

Given an electric vehicles (EVs) increased efficiency, current electric rates, and gasoline prices, are you saving money on a per-mile basis when driving an EV?

Tesla provides a calculator on their website to help people estimate the cost and cost savings between electric and gasoline cars.


Tesla's calculator says it would cost $3.41 for electricity and $7.52 for gasoline for my typical daily commute of about 84 miles round trip. The text at the bottom of the calculator explains the criteria used to calculate those two costs, an electric rate of $0.12 per kWh and a gasoline car that gets 21 mpg at a gasoline cost of $2.70 a gallon. Is this a fair comparison, specifically in New England where gas and electric prices may not match the ones used in the calculator?

My previous car was a Toyota Plug-in Prius that uses unleaded gasoline. Unleaded gas is around $2.20 a gallon as of September 8th, 2016. The Prius also gets around 50 mpg for my commute, mostly highway at highway speeds.

The cost of electricity is a factor in the Tesla per-mile cost. Reading Municipal Light Department (http://www.rmld.com) rates are currently $0.16 per kWh for flat rate billing and $0.14 per kWh for off-peak with time-of-use metering. In both cases these electric rates are higher than what Tesla is using for their estimates.

The other factor is how much energy Tesla is estimating was consumed while driving. Tesla is using the EPA estimated consumption for the Model S 90D.

The EPA rating for the Model S 90D is 33 kWh / 100 miles, or 330 Wh/mile. I'm driving a version of the car with a larger rear motor, the Model S P90D which is rated at 35 kWh / 100 miles, or 350 Wh/mile. I typically get 330 Wh/mile or better on my commute in warm weather, so it looks like the EPA estimate is pretty close.

So how much energy is being used to charge and how much does it cost?

Here is a chart with a number of samples of the kWh used early each morning to charge, measured with a Neurio whole house energy monitor. The energy used to charge is what was used on the previous days commute with some additional amount for short distance local driving.


Across these six samples the average amount of energy used was 32.5 kWh. The variation between the sample is likely due to weather (colder typically increases energy consumption), driving speed, whether I've gone out to lunch or the gym during the day, or some amount of driving after work. I'm actually surprised at how consistent the results are.

NOTE: I've excluded charging from weekend driving where we typically drive either much fewer or many more miles.

My round trip commute is listed as 84 miles from Google Maps. 32.5 kWh / 84 miles is 386.86 Wh/mile. The car itself has been reporting a much lower number, maybe 320 Wh/mile on my commute to work and 280 Wh/mile on the way back. If we use the higher of the two values from the car's energy usage, 320 Wh/mile, 320 Wh/mile * 84 miles = 26880 Wh, or 26.88 kWh.

This is 82% of 32.5 kWh. The additional 5.62 kWh is due to losses in the charging systems and charging process. As an additional data point the 82% efficiency calculated here is similar to what other people have measured.

Based on the amount of energy required to recharge each day, here is the cost of driving each day with highlighting on the lowest cost options:

kWh to charge $ per kWh cost to commute
32.5 kWh $0.16 per kWh $0.16 * 32.5 kWh = $5.20
32.5 kWh $0.14 per kWh $0.14 * 32.5 kWh = $4.55 

How would this compare to gasoline costs?

car mpg gallons used $ per gal cost to commute
Prius 50 mpg 84 mi / 50 mpg = 1.68 gal $2.20 / gal ($2.20 / gal) x 1.68 gal = $3.70
Avg car 30 mpg 84 mi / 30 mpg = 2.8 gal $2.20 / gal ($2.20 / gal) x 2.8 gal = $6.16
Prius 50 mpg 84 mi / 50 mpg = 1.68 gal $3.25 / gal ($3.25 / gal) x 1.68 gal = $5.46
Avg car 30 mpg 84 mi / 30 mpg = 2.8 gal $3.25 / gal ($3.25 / gal) x 2.8 gal = $9.10

NOTE: The MPG for the Prius comes from my experience in driving a 2012 Toyota Plug-in Prius. The 'Avg car' is intended to represent the typical car on the road today and its gas mileage.

The Model S costs less per mile to drive than an average efficiency gasoline fueled car, even when considering currently low gas prices and a higher than national average $0.16 per kWh. If your electric prices are around $0.14 per kWh the Model S is more than $1.50 per day cheaper to drive.

Compared to a high efficiency car like a Prius, the Model S is slightly less cost effective. At today's gas prices the Model S costs around $0.85 extra per day.

Comments

Post a Comment

Popular posts from this blog

Debugging an imprecise bus access fault on a Cortex-M3

This information may apply to other cortex series processors but is written from practical experience with the Cortex-M3. Imprecise bus access faults are ambiguous, as noted by the term "imprecise". Compared to precise bus errors, imprecise errors are much trickier to debug and especially so without a deep understanding of arm processors and assembly language. Imprecise and precise flags are found in the BusFault status register, a byte in the CFSR (Configurable Fault Status Register). BusFault status register bits The definition for imprecise and precise bits is: [2] IMPRECISERR Imprecise data bus error: 0 = no imprecise data bus error 1 = a data bus error has occurred, but the return address in the stack frame is not related to the instruction that caused the error. When the processor sets this bit to 1, it does not write a fault address to the BFAR. This is an asynchronous fault. Therefore, if it is detected when the priority of the current pr

Graco Swing By Me - Battery to AC wall adapter modification

If you have one of these Graco battery powered swings you are probably familiar with the cost of C batteries! The swing takes four of them and they only last a handful of days. I'm not sure if the newer models support being plugged into the wall but ours didn't. If you are a little familiar with electronics and soldering, here is a rough guide on how you can modify yours to plug in! I wasn't sure how exactly to disassemble the swing side where the batteries were. I was able to open up the clamshell a bit but throughout this mod I was unable to determine how to fully separate the pieces. I suspect that there is some kind of a slip plate on the moving arm portion. The two parts of the plastic are assembled and the moving arm portion with the slip plate is slid onto the shaft. Because of the tension in that slip plate it doesn't want to back away, and because of the mechanicals that portion of the assembly doesn't appear accessible in order to free it. I was

Memory efficient queuing of variable length elements

In embedded environments memory can be a critical driver of the design of data structures and containers. Computing resources have been expanding steadily each year but there are still a wide range of systems with far less than a megabyte of memory. On systems with tens of kilobytes of memory, structures are often designed to be compact to maximize data density. Rather than splurging on memory aligned elements that would be faster for the processor to access, a developer will typically use types with minimal sizes based on the known range of values that the element is intending to hold. Fixed sized buffers At my day job a fixed size pool of messages was implemented to hold message data. While this achieved one design goal of using statically allocated buffers, avoiding dynamic allocations that might fail at runtime, it isn't efficient if there is a wide range of message sizes. It isn't efficient because each message uses a message buffer. With small message sizes the buff