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Shimano Launches Innovative Q’Auto System for Commuter and Gravel Riding

Hiroshi Nakamura
Hiroshi Nakamura
"This is groundbreaking! Can't wait to try it out on my next ride."
Alejandro Gómez
Alejandro Gómez
"How does it handle steep climbs? Anyone tested it yet?"
Rajesh Singh
Rajesh Singh
"Auto-shifting sounds great, but will it be reliable in tough terrains?"
Michael Johnson
Michael Johnson
"Why not just stick to manual shifting? Seems like a gimmick."
Michael Johnson
Michael Johnson
"Excited to see how this improves my riding experience!"
Samuel Okafor
Samuel Okafor
"Will it be compatible with older Shimano models?"
Giovanni Rossi
Giovanni Rossi
"I love that it doesn’t require charging! Perfect for daily commuters."
Nguyen Minh
Nguyen Minh
"Do you think this will be a game changer for gravel riding?"
John McGregor
John McGregor
"This could make cycling more accessible for newcomers!"
Hikari Tanaka
Hikari Tanaka
"So, will we have to replace parts often? Seems a bit involved."

2025-06-05T01:54:05Z


Before everyone gets overly concerned, let's clarify right off the bat that the newly launched Shimano Q’Auto system is specifically designed with commuter and gravel biking in mind. So, no, we are not on the verge of having robots taking over our cherished mountain bikes in the great outdoors—at least not yet.

With that clarification made, it’s time to delve into the details of the all-new Shimano Q’Auto system. Some of you may already be acquainted with Shimano’s Di2 linkglide auto-shifting systems, which you may have encountered on Shimano-powered electric mountain bikes (eMTBs). The new Q’Auto system takes elements from these earlier models but enhances them significantly, introducing adaptive learning capabilities and an impressive array of algorithm shift profiles. Let’s explore its components and functionalities in greater detail.

Core Components of Q’Auto

The Q’Auto ecosystem consists of three principal components, each integral to its operation. The first is the CUES FH-U6060 automatic shifting dynamo hub, which serves as the core of the system. This innovative hub generates electrical power as you ride, thanks to its built-in dynamo. Additionally, it features three sensors that monitor critical metrics such as speed, cadence, and slope. The standout feature of this hub is its adaptive learning mechanism, which utilizes the data gathered from these sensors to adjust its shifting profile dynamically, drawing from a library of 6,500 stored algorithms tailored to accommodate each rider's unique riding style and the specific terrain being navigated.

The second key element of the Q’Auto system is the CUES RD-U8050 Linkglide rear derailleur. Shimano will offer two distinct versions of this derailleur, both designed to work in conjunction with Linkglide cassettes. The CUES RD-U8050-SGS is compatible with an 11-speed 11-50T and 11-45T cassettes, in addition to a 10-speed 11-48T cassette. Alternatively, the CUES RD-U8050-GS is designed for 10-speed 11-43T cassettes.

The final piece of the puzzle in the Q’Auto system is the new shifter switch. This component communicates directly with the hub and actuates the derailleur. You might wonder why a shifter is necessary in an auto-shifting system. The answer lies in the limitations of current technology: while the hub is equipped with sensors and algorithms that customize the shifting profile based on terrain, it cannot anticipate what lies directly ahead of the rider.

This is where the adaptive learning aspect of the system becomes particularly intriguing. If the system has not executed a shift when you desire one, simply pressing the button prompts a shift. The adaptive learning feature retains the information regarding the conditions at the time of the shift and refines its shifting profile accordingly. In essence, the more you ride, the smarter the system becomes, and the less frequently you will need to engage the button to manually shift gears.

Powering the System: No Charging Required

As previously mentioned, the Q’Auto ecosystem consists of the hub, derailleur, and shifter switch. The hub, equipped with the dynamo, not only generates power but also stores it for operation during rides. According to Shimano’s marketing material, the system is devoid of traditional batteries but utilizes a capacitor to store energy generated from the dynamo. This means riders won’t have to charge the system as one would typically charge conventional Di2 systems. However, it is advised that you ride your bike at least once a year to maintain a sufficient charge.

Additionally, the shifter switch contains two coin-cell CR1632 batteries, which will eventually require replacement. It’s anticipated that these batteries will have a long lifespan; by the time they need changing, the system will likely have adapted well to your personal shifting patterns.

Conclusion: A Positive Step for Shimano

So, why is this news significant? First and foremost, the Q’Auto system represents an exciting advancement in technology, and it's commendable to see Shimano focusing on enhancing the riding experience for everyday commuters and gravel riders, rather than solely catering to high-end racing components.

If history serves as a guide, we can expect that Shimano may adapt the Q’Auto system for GRX Di2 and potentially XTR Di2 systems as well. The adaptive learning feature is particularly noteworthy and highlights the potential for significant benefits within the high-end gravel and mountain biking markets.

Auto-shifting systems have often struggled with the challenge of shifting into the right gear at the right moment. However, with the integrated intelligence to monitor shifting patterns, the Q’Auto system could learn to execute the most optimal shifts at the ideal times, customized to each rider’s preferences.

Will the entire gravel and mountain biking community embrace the Shimano Q’Auto system enthusiastically? It’s uncertain. However, for those who seek a hassle-free riding experience, this innovative approach could very well represent a notable advancement in the auto-shifting landscape. Stay tuned for further updates!

Profile Image Erik Nilsson

Source of the news:   Flow Mountain Bike

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