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Battle of the charging technologies

Majordennisbloodnok · 2022-03-28T17:29:00Z

As I commented on another thread (posted by @editor), we're looking into V2X; we're certainly interested in getting an electric car and V2X makes sense if it can effectively allow us to increase our solar PV storage capacity at the same time. However, I'm aware now that CHAdeMo charging is essential to V2X being the only bidirectional charging technology readily available, but that it's losing out significantly to CCS in terms of installed public charging infrastructure. Has anyone any ideas: if there are any hints that CHAdeMo popularity may rise again or if there are an other bidirectional charging technologies that might be able to take CHAdeMo's place? Any thoughts much appreciated.

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Renewable-powered transport (EVs & e-bikes)

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Majordennisbloodnok

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Topic starter 27/03/2024 12:53 pm

Also, @ianmk13, are you using this integration yourself? If so, how are you finding it?

105 m2 bungalow in South East England
Mitsubishi Ecodan 8.5 kW air source heat pump
18 x 360W solar panels
1 x 6 kW GroWatt battery and SPH5000 inverter
1 x Myenergi Zappi
1 x VW ID3
Raised beds for home-grown veg and chickens for eggs

"Semper in excretia; sumus solum profundum variat"

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IanMK13

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27/03/2024 3:42 pm

@majordennisbloodnok I'm quite new to Home Assistant and have done very little with the Zappi Integration other than logging the grid voltage and providing a notification if the Zappi stops recording consumption, which it has on a couple of occasions. I don't use my MG4 much so rarely need to charge it, so there is no need to leave plugged in all the time and looking for cheap Agile slots.

Taking a quick look now, there are many sensors to monitor various attributes and there are controls for 'Minimum Green Level' and charging mode. There is no way to program a charging schedule, but why would one want to do that with Home Assistant available? I believe there may be APIs for connecting to the Myenergi cloud, too.

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Majordennisbloodnok

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Topic starter 28/03/2024 12:56 pm

Thanks for that, @ianmk13. Although you've still a bit of a learning curve ahead of you what you've given so far is really useful.

What you said about programming of charging schedules is spot on for us; why would we need something particularly smart if we've a home system to do the smart stuff anyway.

"Semper in excretia; sumus solum profundum variat"

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IanMK13

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28/03/2024 2:21 pm

Posted by: @majordennisbloodnok

↑

..... you've still a bit of a learning curve ahead of you.....

Really !?

And I haven't got my PV, battery or ASHP yet 😐

I've got my intruder alarm on-board now (with a couple of hardware sensors still to add). I really must look into Python, too. I rely on Excel for data manipulation and graphical representation but I hear that Python may help.

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Transparent

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28/03/2024 2:32 pm

Posted by: @majordennisbloodnok

↑

why would we need something particularly smart if we've a home system to do the smart stuff anyway.

I think we need to consider the charging schedule against a wider range of inputs than those commonly used within HA.

The present EV Charging legislation is also 'ignorant' of the required inputs, but is still the law, despite conflicting with HMGs own Direction Paper on Delivering a Smart & Secure Electricity System.

As we seek to move towards Net Zero, the following inputs need to be considered:

available generation from renewable sources in my area in the next hour. It's better to store the energy locally than funding massive grid upgrades to export it elsewhere.
amount of energy my own house will require in the next 24hrs, after subtracting what my own PV panels will generate
phase imbalance in the transformer of my local substation. A home-based charger is most likely to be single-phase and will itself cause losses due to phase imbalance. But if 'my' phase is presently exhibiting too small a loading factor, then my charger could usefully be turned on to reduce those losses.

I have deliberately avoided any 'costs per kWh' in the above.
Whatever DESNZ and Ofgem think, the future for flexible pricing models should follow the science, rather than being used to drive consumers into particular time periods.

This post was modified 2 years ago 2 times by Transparent

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