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Re: [sumo-user] EV battery consumption values

Apologies, I had missed your question.
Unfortunately I can't really help.

I used the 100w value as something I'd seen in summer driving - the higher value associated with the original bus model was far too high - 100w is probably low.

The value is obviously temperature dependant as lower temperatures will invoke use of cabin and battery heating.

The energy used in this heating is also dependant on journey length as once the battery/cabin have reached appropriate temperatures it takes less energy to maintain those temperatures - short journeys are disproportionately impacted because operating temperatures may not be reached.

I was interested in temperature impacts on energy usage and captured real world behaviour on my vehicle for a month. I saw huge variation and no simple correlation with temperature.
[Eg a 9km journey @4c reported 1.3kWh 66% driving, 13% electrics, 21% cabin heating. A 370km journey @3-5c reported 51kWh 92% driving, 3% electrics, 5% cabin heating]

I eventually assumed that battery heating meant that most usage variations were related to the use of cabin heating, not variations in battery performance.

Given that is so dependant on the driver/passenger preference I couldn't see a sensible way of modelling this.

Further, given that use of real world routes gave me a good fit to observed usage, I felt that the effects of tweaking the 'constantPowerIntake' could not be justified - it would be taking the model into a granularity it could not support with no real benefit?

Good luck!
Div




-------- Original Message --------
On 7 Jan 2022, 09:40, Iñaki Cejudo Fresnadillo < icejudo@xxxxxxxxxxxxx> wrote:

Hi Div and Jakob, 

Sorry for the late response. This thread and your responses helped me a lot to make a simulation close to real world. The new electric vehicle model included in SUMO aswell. 
I wanted to ask you if you have any clue on how to model the auxiliary system with "constantPowerintake" parameter. Do you know an average value for summer or winter conditions? Any reference where I could model this condition? Thanks in advance.

Iñaki



El mié, 24 nov 2021 a las 15:57, The div (<div@xxxxxxxx>) escribió:
Update:
Jakob pointed out that the acceleration/deceleration values I'd used here were very low - I repeated the exercise using the theoretical (ie "manufacturer specification") value for acceleration and a default for deceleration, then with +/- 10% values for acceleration/deceleration. The latter was run under reduced traffic conditions = higher speeds/lower efficiency.

image.png

For the values for which I have multiple real-world data points (short urban/short mixed) the specification acceleration in Sumo shows a reduced efficiency relative to my real world. I might posit that the closer fit of the low acceleration value may reflect my "senior" driving style :)

The updated vType aligned with the vehicle specification is as follows:
    <vType id="soulEV65" minGap="2.50" maxSpeed="46.0" color="white" accel="3.6" decel="4.5" sigma="0.0" emissionClass="Energy/unknown">
        <param key="airDragCoefficient" value="0.35"/> <!-- https://www.evspecifications.com/en/model/e94fa0  -->
        <param key="constantPowerIntake" value="100"/> <!-- observed summer levels -->
        <param key="frontSurfaceArea" value="2.6"/>    <!-- computed (ht-clearance) * width -->
        <param key="has.battery.device" value="true"/>
        <param key="internalMomentOfInertia" value="0.01"/>  <!-- guesstimate -->
        <param key="maximumBatteryCapacity" value="64000"/>
        <param key="maximumPower" value="150000"/>      <!-- website as above -->
        <param key="propulsionEfficiency" value=".98"/> <!-- guesstimate value providing closest match to observed -->
        <param key="radialDragCoefficient" value="0.1"/>   <!-- as above -->
        <param key="recuperationEfficiency" value=".96"/>  <!-- as above -->
        <param key="rollDragCoefficient" value="0.01"/>    <!-- as above -->
        <param key="stoppingTreshold" value="0.1"/>        <!-- as above -->
        <param key="vehicleMass" value="1830"/>            <!-- 1682kg curb wt + my average 2 passengers / bags -->
   </vType>

cheers
Div
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Monday, November 15th, 2021 at 14:05, The div <div@xxxxxxxx> wrote:

This thread piqued my interest and I've been trying to model the real world behaviour of my own EV (a Kia Soul EV 2020) - so I share this for your amusement!

I extracted a map of England from OSM and cut out an area for which I had trip information.
- specifically some relatively local journeys I have made frequently and a few longer distance journeys which were single data points.

As noted in the thread the values appropriate to a bus considerably overstate the radial drag coefficient for a car - this and the vehicle mass had most impact on my modelling.
Whilst I modelled the exact routes I couldn't model traffic because of the scale and complexity of the longer routes. (I did scale up the simulation to increase congestion in the urban parts of the route and get overtaking behaviour into the motorway route sections but ....) With those caveats I believe SUMO provides very good correlation with my observed efficiency cf:
image.png
These routes are on UK roads which have general limits of 30/40mph in urban areas and 70mph on motorways - the specific values having been set by the OSM import.
The variation observed in the real world short routes appears to be temperature related (eg morning vs afternoon). The single data point routes were made in early August.

I played with artificial routes of comparable distances but could not get realistic or even proportionate efficiency outputs - those models always produced much higher efficiency values (double) than can be achieved, a realistic model encompassing junctions, roundabouts etc seems necessary.

I settled on the following vType as being most representative of my driving style - the relative efficiencies gave a comparable ratio to energy consumed/recuperated as reported by my vehicle. 
    <vType id="soulEV65" minGap="2.50" maxSpeed="29.06" color="white" accel="1.0" decel="1.0" sigma="0.0" emissionClass="Energy/unknown">
        <param key="airDragCoefficient" value="0.35"/> <!-- https://www.evspecifications.com/en/model/e94fa0  -->
        <param key="constantPowerIntake" value="100"/> <!-- observed summer levels -->
        <param key="frontSurfaceArea" value="2.6"/>    <!-- computed (ht-clearance) * width -->
        <param key="has.battery.device" value="true"/>
        <param key="internalMomentOfInertia" value="0.01"/>  <!-- guesstimate -->
        <param key="maximumBatteryCapacity" value="64000"/>
        <param key="maximumPower" value="150000"/>      <!-- website as above -->
        <param key="propulsionEfficiency" value=".98"/> <!-- guesstimate value providing closest match to observed -->
        <param key="radialDragCoefficient" value="0.1"/>   <!-- as above -->
        <param key="recuperationEfficiency" value=".96"/>  <!-- as above -->
        <param key="rollDragCoefficient" value="0.01"/>    <!-- as above -->
        <param key="stoppingTreshold" value="0.1"/>        <!-- as above -->
        <param key="vehicleMass" value="1830"/>            <!-- 1682kg curb wt + my average 2 passengers / bags -->
    </vType>
Whilst these figures model a Soul they should be easily tweaked for any of the Hyundai/Kia EV range that basically use the same electric powertrain.

cheers
Div
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--

Iñaki Cejudo Fresnadillo
Research Assistant | Ayudante de Investigación

icejudo@xxxxxxxxxxxxx
+[34] 943 30 92 30
Intelligent Transport Systems and Engineering | Sistemas de Transporte Inteligentes e Ingeniería

  

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