New Business Development Office

connect • Jun 30, 2020

Check out the details and visit us! 

We recently acquired a new office in the technology district of Beijing. Our new office is outfitted with new workspace for all our employees and plenty of conference space, as well as a show room to highlight our line up of motorcycles. Evoke motorcycles is located at Haidian West street building number 25 on a first floor . 北京市海淀区海淀西大街25号,中关村科学城国际人才港If you would like to visit us, follow these instructions. 

There are two gates : south and north , if you approaching from 4 ring road , you enter south gate where parking lots are available and easy access with a taxi.

On your right you’ll see big sign “Innoway” . This is your entrance to the north gate.

This is north gate,go through and our office is in the first building on your right. You will be welcomed by our staff the moment you get in. 

South gates is on Haidian street which also has a parking lot and an entrance to our area. 

You have to pass big archway and continue walking towards the north side. Feel free to stop by for some coffee and Mexican food.

There are a lot of different companies located here and it really is a foreign community based district. So don't be shy to speak English if you pass by. 

Continue walking until you come to the end of the north gate. 

Here you are at our office, you’re welcome any time from Monday to Friday , 10:00-19:00. Feel free to send us an appointment by contacting us through email or phone number. If you would like a test ride or check out our motorcycles, we can provide that too. Looking forward to seeing you soon!

CONTACT US FOR DESIGN & ENGINEER & SALE COOPERATION: E-mail: seb@evokeev.com Phone: +86 186-1136-6412
Evoke Motorcycles aims to be the market leader and standard maker in electric motorcycle industry. Our goals are to refresh the definition of motorcycles riding experience with better performance, range and safety through proprietary battery, VCU and on-board system. And constantly develop more smart & eco-friendly transport alternatives for our customers.


For more remember to visit Evokemotorcycles.com



By Mike Belov 05 Jul, 2024
Data logging for electric vehicles offers numerous benefits. Firstly, it enables vehicle owners and enthusiasts to comprehensively analyse and evaluate their vehicle's performance. By recording essential parameters such as engine RPM, speed, throttle position, and braking force, among others, data logging facilitates the identification of areas for improvement, fine-tuning of vehicle settings, and tracking of performance changes over time. Furthermore, data logging serves as a valuable diagnostic and troubleshooting tool, providing crucial information about sensor readings, error codes, and system behaviour during specific events or conditions. This empowers mechanics and vehicle owners to identify problems accurately and make informed decisions regarding repairs or maintenance. For performance enthusiasts, data logging allows customization and optimization of vehicle settings, as continuous monitoring and logging of performance data enable precise fine-tuning of engine parameters, suspension settings, and other components. This approach helps achieve desired performance characteristics while maximizing efficiency. Importantly, data logging contributes to safety by providing insights into driver behaviour and vehicle performance, recording data related to acceleration, braking, speed, and other parameters. This information can be utilized for training purposes, monitoring driving habits, and assessing vehicle performance during critical situations. Thus, data logging proves to be an invaluable tool, offering multifaceted advantages for vehicle owners, enthusiasts, mechanics, and the automotive industry as a whole. When it comes to Evoke Motorcycles, collected data is used for identifying errors and potential areas of improvement in prototypes and other models. If an error or an abnormality comes up in the data, it can be easily noticed and traced to its origin, helping identify the root of the problem. Furthermore, using data brings valuable insights into driver behaviour and its variety. If one behaviour is more prevalent than the other, or there are many, the design or parameters can be manipulated to better suit the driver and make the driving experience much more pleasant and comfortable. In the future, data analytics are planned to be shifted in the hands of AI/ML providing instantaneous criteria and analysis on the go, as the data is being collected. This will fully automate the process and result in much more detailed diagnostics once the AI is sufficiently trained on the past data processes. All of the data is collected and stored within the vehicle, as this surpasses the limitation of servers. If the data is stored within a server in one country, a user in the other might not be able to access it. If the data is stored inside the Evoke motorcycle itself, the user can access it at any point and maintains full control of their own riding data. If there are any issues with the electric motorcycle, or the user would like to understand their riding data better, it can be easily sent to Evoke for review, bypassing any geopolitical limitations that would be otherwise present with the use of servers. The vehicle records up to 10 hours of riding data and is collected every 0.5 seconds. As of 2024, the 120 collected data points make up the five main data pools:
By Mike Belov 28 Jun, 2024
Vehicles, that run with combustion engines or ICEs rely on a jackshaft to efficiently distribute the produced power or simply optimise the conversion of energy to the wheels of the vehicle. ICEs cannot automatically regulate the speed of their rotation. In order to control it, different gears are introduced, to be able to increase and decrease the torque. If the jackshaft is part of a transmission system, it may have multiple gears or pulleys of different sizes attached to it. These gears or pulleys can have different ratios, allowing for torque conversion or speed adjustment. Gear ratio can be calculated via the formula below:
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