Quite close - real world urban driving I see between 7 and 8km/kWh. Over the
same ~20km routes, with that configuration, sumo was giving me around 7.6.
Over very short routes (~4km) sumo was giving me ~6km/kWh which is actually
realistic but I don't trust that. I don't see how the model can be simulating
the initial 'warming up' - it may be that the 'constantPowerIntake' value is
doing this - but I need to get realistic values for that base load to
understand what is happening. Certainly the equations in the original paper
don't support this.
What I did was to import my local area from osm then add a couple of routes for
which I know my consumption - as accurately as possible.
Looking at the step outputs along these routes the discharge/regeneration
values looked reasonable throughout. (numerous roundabouts/junctions/lights)
The figures I'm quoting as being representative are ( total consumption - total
regeneration ) - I don't know the real world breakdown over the specific
routes, although the vehicle reported overall averages are comparable.
I am planning to look at some longer routes but it'll take significant pruning
of an osm import to let me create them - because the netedit refresh time is
otherwise painfully slow!
Cheers
Div
-------- Original Message --------
On 13 Oct 2021, 13:23, Iñaki Cejudo Fresnadillo wrote:
> Hi,
>
> Do you get an output similar to real life consumption? Can you tell
> approximately what's the battery consumption per km in your route? In my
> case, with similar parameter values as yours, in a 100 km highway route at a
> normal speed, almost 80% of the battery is consumed. That's far from real
> life consumption.
>
> El sáb, 9 oct 2021 a las 14:44, The div (<[email protected]>) escribió:
>
>> Apologies for my classically anglo-centric assumption - in my defence the
>> consumption reported was absurd! :)
>>
>> I hadn't realised the EV model had been added to Sumo and am very interested
>> in this - I had a look at the model behaviour using my own vehicle (soul
>> 2020). The consumption values were similarly absurd and a sensitivity
>> analysis indicated that vehicleMass, radialDragCoefficient and the
>> efficiency values have most impact on the model.
>>
>> For my Soul EV, against a round trip school run for which I have consistent
>> consumption values, the following gives me model output comparable to real
>> life.
>>
>> <vType id="soulEV" accel="1.0" decel="1.0" length="4.2" maxSpeed="167.0"
>> sigma="0.0" minGap="2.5" color="1,1,1">
>> <param key="has.battery.device" value="true"/>
>> <param key="maximumBatteryCapacity" value="64000"/>
>> <param key="maximumPower" value="150000"/>
>> <!-- wt = 1682kg - payload = 498kg = all passengers - so assume 200kg for 2
>> passengers + kit -->
>> <param key="vehicleMass" value="1882"/>
>> <!-- height = 1.600, width = 1.800, clearance = .155 front SA =
>> 1.800*(1.600-0.155) -->
>> <param key="frontSurfaceArea" value="2.6"/>
>> <param key="airDragCoefficient" value="0.35"/>
>> <param key="internalMomentOfInertia" value="0.01"/>
>> <param key="radialDragCoefficient" value="0.1"/>
>> <param key="rollDragCoefficient" value="0.01"/>
>> <param key="constantPowerIntake" value="100"/>
>> <param key="propulsionEfficiency" value=".98"/>
>> <param key="recuperationEfficiency" value=".96"/>
>> <param key="stoppingTreshold" value="0.1"/>
>> <param key="emissionClass" value="Energy/unknown"/>
>> </vType>
>>
>> I suggest you look at reducing the radialDragCoefficient as I'm pretty sure
>> that would be much higher for a bus than a Model 3! I have not yet looked at
>> how these parameters fit with longer/faster (non-urban) routes.
>>
>> I'm interested in incorporating temperature impacts into the sumo model -
>> much more significant for an ev - if no-one is working on this I'd probably
>> start with the data from https://www.geotab.com/blog/ev-range/ and apply
>> this to the energy consumption/recuperation.
>>
>> The question is where the temperature value should be set in sumo - it feels
>> like setting the value against an edge would be technically accurate but too
>> granular - whilst setting it for a simulation run may be too inflexible -
>> any thoughts?
>>
>> cheers
>> div
>>
>> ‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
>> On Friday, October 1st, 2021 at 07:34, Iñaki Cejudo Fresnadillo via
>> sumo-user <[email protected]> wrote:
>>
>>> Yes, sorry, it's a 50 kWh battery consumed almost entirely in 100 km.
>>>
>>> El jue, 30 sept 2021 a las 18:09, Jakob Erdmann (<[email protected]>)
>>> escribió:
>>>
>>>> maybe...
>>>>
>>>> Am Do., 30. Sept. 2021 um 18:08 Uhr schrieb Jakob Erdmann
>>>> <[email protected]>:
>>>>
>>>>> Spain uses ',' as decimal separator so the '.' in 50.000 is for digit
>>>>> grouping.
>>>>>
>>>>> Am Do., 30. Sept. 2021 um 17:42 Uhr schrieb The div <[email protected]>:
>>>>>
>>>>>> Not surprising that a 50 Wh battery is consumed quickly - I don't
>>>>>> believe any current (sic) EV has a capacity that low - try 50 kWh :)
>>>>>>
>>>>>> -------- Original Message --------
>>>>>> On 30 Sep 2021, 15:45, < [email protected]> wrote:
>>>>>>
>>>>>>> Hi.
>>>>>>>
>>>>>>> In the paper [Kurczveil, T., López, P.A., Schnieder, E., Implementation
>>>>>>> of an Energy Model and a Charging Infrastructure in
>>>>>>> SUMO](http://elib.dlr.de/93885/1/Proceeding_SUMO2013_15-17May%202013_Berlin-Adlershof.pdf)
>>>>>>> you have an example with an electric bus. Use these parameters in your
>>>>>>> vehicle and check if the result is coherent with your expected result.
>>>>>>> If not, send me network and route file.
>>>>>>>
>>>>>>> Regards
>>>>>>>
>>>>>>> Von: sumo-user <[email protected]> Im Auftrag von Iñaki
>>>>>>> Cejudo Fresnadillo via sumo-user
>>>>>>> Gesendet: Donnerstag, 30. September 2021 14:23
>>>>>>> An: [email protected]
>>>>>>> Cc: Iñaki Cejudo Fresnadillo <[email protected]>
>>>>>>> Betreff: [sumo-user] EV battery consumption values
>>>>>>>
>>>>>>> I’m working on a simulation of an electric vehicle going from one city
>>>>>>> to another. Total distance is 100km and the vehicle has the following
>>>>>>> parameters:
>>>>>>>
>>>>>>> - max speed (m/s) = 33.3 m/s (100 km/h)
>>>>>>>
>>>>>>> - speedFactor = 1
>>>>>>>
>>>>>>> - has.battery.device = true
>>>>>>>
>>>>>>> - maximumBatteryCapacity (Wh) = 50.000 Wh.
>>>>>>>
>>>>>>> - maximumPower (W) = 239.000 W.
>>>>>>>
>>>>>>> - vehicleMass (Kg) = 1700 kg.
>>>>>>>
>>>>>>> - frontSurfaceArea (m²) = 2.34 m².
>>>>>>>
>>>>>>> - airDragCoefficient = 0.23.
>>>>>>>
>>>>>>> - internalMomentOfInertia (kg m²) = 0.01 kg m².
>>>>>>>
>>>>>>> - radialDragCoefficient = 0.5
>>>>>>>
>>>>>>> - rollDragCoefficient = 0.01
>>>>>>>
>>>>>>> - constantPowerIntake (W) = 50 W
>>>>>>>
>>>>>>> - propulsionEfficiency = 0.9. .
>>>>>>>
>>>>>>> - recuperationEfficiency = 0.9.
>>>>>>>
>>>>>>> - stoppingTreshold (km/h) = 0.1.
>>>>>>>
>>>>>>> - actualBatteryCapacity (Wh): 50.000.
>>>>>>>
>>>>>>> Simulation has 3600 steps, step-length of 1 second.
>>>>>>>
>>>>>>> The battery output says that the battery has been almost entirely
>>>>>>> consumed, and this doesn’t make any sense cause 50.000 Wh of battery
>>>>>>> capacity should last for around 300 km.
>>>>>>>
>>>>>>> Is there any parameter I am misunderstanding or assigning an incorrect
>>>>>>> value?
>>>>>>>
>>>>>>> I am trying to reproduce some features of Tesla Model 3 with
>>>>>>> maximumBaterryCapacity, maximumPower and vehicleMass.
>>>>>>>
>>>>>>> --
>>>>>>>
>>>>>>> https://www.vicomtech.org
>>>>>>>
>>>>>>> Iñaki Cejudo Fresnadillo
>>>>>>> Research Assistant | Ayudante de Investigación
>>>>>>>
>>>>>>> [email protected]
>>>>>>> +[34] 943 30 92 30
>>>>>>>
>>>>>>> Intelligent Transport Systems and Engineering | Sistemas de Transporte
>>>>>>> Inteligentes e Ingeniería
>>>>>>>
>>>>>>> https://www.linkedin.com/company/vicomtech
>>>>>>> https://www.youtube.com/user/VICOMTech https://twitter.com/@Vicomtech
>>>>>>>
>>>>>>> member of: https://graphicsvision.ai/
>>>>>>>
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>>>>>>> confidenciales y están dirigidos exclusivamente a sus destinatarios. Si
>>>>>>> recibe este mensaje por error, se ruega nos lo comunique y proceda a su
>>>>>>> borrado.
>>>>>>>
>>>>>>> The information contained in this electronic message is intended only
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>>>>>>>
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>>>>
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>>>
>>> --
>>>
>>> https://www.vicomtech.org
>>>
>>> Iñaki Cejudo Fresnadillo
>>> Research Assistant | Ayudante de Investigación
>>>
>>> [email protected]
>>> +[34] 943 30 92 30
>>> Intelligent Transport Systems and Engineering | Sistemas de Transporte
>>> Inteligentes e Ingeniería
>>>
>>> https://www.linkedin.com/company/vicomtech
>>> https://www.youtube.com/user/VICOMTech https://twitter.com/@Vicomtech
>>>
>>> member of: https://graphicsvision.ai/
>>>
>>> La información que contiene este mensaje y sus adjuntos son confidenciales
>>> y están dirigidos exclusivamente a sus destinatarios. Si recibe este
>>> mensaje por error, se ruega nos lo comunique y proceda a su borrado.
>>>
>>> The information contained in this electronic message is intended only for
>>> the personal and confidential use of the recipients designated in the
>>> original message. If you have received this communication in error, please
>>> notify us immediately by replying to the message and deleting it from your
>>> computer.
>>
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>
> --
>
> https://www.vicomtech.org
>
> Iñaki Cejudo Fresnadillo
> Research Assistant | Ayudante de Investigación
>
> [email protected]
> +[34] 943 30 92 30
> Intelligent Transport Systems and Engineering | Sistemas de Transporte
> Inteligentes e Ingeniería
>
> https://www.linkedin.com/company/vicomtech
> https://www.youtube.com/user/VICOMTech https://twitter.com/@Vicomtech
>
> member of: https://graphicsvision.ai/
>
> La información que contiene este mensaje y sus adjuntos son confidenciales y
> están dirigidos exclusivamente a sus destinatarios. Si recibe este mensaje
> por error, se ruega nos lo comunique y proceda a su borrado.
>
> The information contained in this electronic message is intended only for the
> personal and confidential use of the recipients designated in the original
> message. If you have received this communication in error, please notify us
> immediately by replying to the message and deleting it from your computer.
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