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Hyundai Ioniq EV



Thanks to the 4 Ioniq EV drivers contributing driving data to ABRP, we’ve finally got enough data points to define our first real world consumption curve for the Ioniq EV!  We can still use driving data to improve the model even further, so if you’d like to contribute your data, have a look at the instructions.  Also, if you’ve got an electric car you’d like us to support have a look at our post detailing How to Add Your Car to ABRP.

Much of the data comes from day-to-day driving, with a few road trips sprinkled.  Thanks to everyone who contributed their driving data!

Ioniq EV Power at Constant Speed

The ABRP Model, as you know, is driven by calculating the power consumed for each leg of the trip by plugging in the speed, elevation, and other factors for each segment of the trip, determining how much power the car must output to drive that segment.  It then adds up all the segments, and subtracts it from the battery to determine when a charging stop is needed.

For this purpose, we need an accurate driving model on flat ground as a baseline, that turns speeds into power.  Then we can add all the other driving factors on top of that:


The blue dots are consumption samples (30 seconds of driving), adjusted for elevation and speed changes, and the yellow dots are median points within a 1 m/s bin. This means that the red line consumption model is fitted to the median consumption which means that most weather issues, car defects, aggressive driving and so on is typically ignored. As can be seen, we mostly have data points from very low speed and from highway speeds, but that is where things are most interesting.

For the Ioniq EV, Hyundai has done a decent job with their aerodynamics, but the big gains come from its small cross-sectional area and low weight.  Giving it a reference consumption of only:

  • 7.63 km/kWh (131 Wh/km) at 110 km/h or
  • 4.95 mi/kWh (202 Wh/mileat 65 mph

That’s even lower than the Model 3 (143 Wh/km), which is extremely efficient!  The Model 3 has a similar Coefficient of Drag (Cd TM3 = 0.23, Cd Ioniq = 0.24), but a higher cross-sectional area, which increases the overall drag on the car.  Weight has less of an impact on range, mainly at lower speeds.  At higher speeds, drag is king.

We’ve now updated the live model for the Ioniq and removed the “Beta” tag, so you should see the benefits of this higher efficiency in your route planning!  Do note that we still set the default a little lower than this measured value, just to ensure we give you a plan that’s not going to over-promise your car’s capabilities.  If you know how well your car drives, feel free to re-adjust back to this value!

Comparing to the Analytical Model


Ioniq Analytical vs Actual driving range.

Up to this point, we’ve been using an analytical model, and similar to the Bolt analysis, we see a pretty close fit between the two.  Accounting for our standard 10% margin, it’s a pretty solid model!

Road Tripping in the Ioniq

Given how efficient the Ioniq is, and how quickly it can charge, it might do quite well on a road trip, even given its low range.  You’d have to stop regularly to charge, but it might not require as long of a stop. The problem is, that the Ioniq cannot make our standard road trip model. (1000km at 120km/h with 200km legs). Its range is too short.   However, shortening the leg distance gives it:

  1. Model 3 Long Range: Total trip duration 09:43, of which charging 01:23
  2. Model S100D: Total trip duration 10:05, of which charging 01:45
  3. Model X100D: Total trip duration 10:29, of which charging 02:09
  4. Model S60: Total trip duration 10:35, of which charging 02:15
  5. Ioniq EV: Total trip duration 10:40, of which charging 02:20 (115km legs)
  6. Model X60: Total trip duration 11:28, of which charging 03:08
  7. Bolt EV: Total trip duration 12:20, of which charging 04:00

With this adjustment, the road trip requires 8 charging stops, and you’re stopping almost every hour.  Given the number of stops, adding “fiddling with the charger” time to that will make your road trip longer, so 10:40 might be an overly optimistic number.

Finally, comparing on the charging speed, we get:


Ioniq Charge Speed Comparison (metric)


Looking at the charge speeds this way, we see an interesting side effect of the small-but-efficient path, as well as an up-side of the more “hockey-stick” shaped charge curves a lot of manufacturers are using in upcoming vehicles.  Because the Ioniq is so efficient, it gets a very high relative charge speed, even though it’s actually charging only slightly faster than the Bolt measured by kW.  The hockey stick really shows itself when comparing against the S60.  Even though it starts out slower, around 50% the Ioniq starts charging faster, and maintains longer than the S60.  This is important for the Ioniq’s small battery, and contributes to its decent road tripping time.

Appendix: Graphs in Imperial Units

Analytical_Ioniq-Hyundai_Ioniq_range_imperial.png.ab712861a8cb62df545d8f72bafc41c4.png Chevy_Bolt-Hyundai_Ioniq-Tesla_3_LR-Tesla_3_SR-Tesla_S_60_chargespeed_imperial.png.f59cd005378650a4f60495b8be994287.png



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Very good info. Would be great to see the new European SUVs (Ipace, Etron) as well as more compact cars (i3, LEAF, Golf, Kona ...)

The charts are not visible on my browser (using Chrome).

Can you correct it ?

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Guest Staldor


So in other words, based on this data, the Ioniq EV is currently the most power efficient EV?

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Guest SAMSUNG TV Repair Dubai


The powerful motor driving the front wheels means respectable Ioniq Electric performance figures, especially from low speeds. At higher speeds wind and road noise spoil the hush, but the handling is tidy and well controlled.

Very nice information about Ioniq EV car regarding.

And you have face any tv related issues so you can visit  SAMSUNG TV Repair Dubai

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Guest milen seth


Service host Superfetch 

There is no risk of side effects if you decide to turn it off. Our recommendation is that if your system is running well, leave it on. If you have issues with high HDD usage, high RAM usage, or degraded performance during RAM-heavy activities, then try turning it off and see if it helps.


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