IQ2 power meter 파워미터 #06
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여가/자전거

IQ2 power meter 파워미터 #06

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우리 IQ2가 달라졌어요. 이번에도 2주가 채 안되어 업데이트를 해주었네요.

계속 테스트 자료를 업데이트하고 있는데 꾸준히 자료를 올려주면 믿어보고 싶잖아요. ^^;;

 

그리고 배터리 이야기도 있는데 정확히 어떤 배터리인지는 안적혀 있고 계산상(실제 테스트는 안 한 듯) 100시간 정도 사용이 가능하다고 되어 있네요.

 

https://analyze.dcrainmaker.com/#/public/a4799ba9-a2f2-406a-7e33-0d18af738669

 

DC Rainmaker Analyzer

 

analyze.dcrainmaker.com

https://analyze.dcrainmaker.com/#/public/cfd729f5-ff31-4537-4ad2-93e0ac7645b4

 

DC Rainmaker Analyzer

 

analyze.dcrainmaker.com

 

 

원문

Ride Files and Battery Burn

Hi all, we successfully rounded off our data collection last week. It was great to see many backers in person and we’ll be posting an after-movie as soon as we have it edited so you can join in the experience. In the meantime, we’d like to share a ride with you that co-founder Woud Vleugel did in Winterberg, Germany last weekend:

https://analyze.dcrainmaker.com/#/public/a4799ba9-a2f2-406a-7e33-0d18af738669

 

 

Delivery Schedule
We are now finalizing our estimated delivery schedule with our production partners and will share this with you as soon as we can.

Battery Burn Rate
The DC Rainmaker tool calculates the battery burn rate using the ANT+ battery status messages. Because the ANT+ protocol only facilitates five levels of battery status, the calculated burn rate is highly inaccurate. Furthermore, we usually start the bike computer inside and then take the bike outside into the Dutch cold. This temperature difference also affects the calculated battery capacity negatively. We have measured our average energy consumption at room temperature to be 1,2 mA. With these measurements a quality brand battery would last you around 100 hours.

Labrat Results
We were very happy to see so many people interested in helping us out! And it felt good to talk to backers in real life and vice versa; we were happy to show the actual tangible power meter to backers. Jon’s Mix on Zwift was a tough ride that provided us with a wide range of data. The testers enabled us to collect raw data and test different versions of our firmware to perfect our algorithm. Again everyone, thank you so much! Although we’re still analyzing the data, our overall conclusion of the test week is that we collected highly consistent data even though our test riders varied in level and riding style.

Take a look at the data of Wim, one of the testers:

https://analyze.dcrainmaker.com/#/public/cfd729f5-ff31-4537-4ad2-93e0ac7645b4


Until next week!

Team iQsquare

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