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How do electric bike motor algorithms work?

Discover how sophisticated algorithms regulate electric assistance for optimal battery use and an efficient cycling experience. Explore the basics, the different types of motors, key components, control algorithms, sensors and future prospects for this exciting technology.
electrification cannondale gravel topstone joris

540Wh battery (approx. 70km)

Pedal motor with torque sensor (250W and 80N.m)

Display with Open Source firmware

Give new life to your favorite bike

Good for your finances, good for the environment!

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Article summary

Electric bike motors work thanks to sophisticated algorithms that regulate the electrical power delivered to the bike’s wheels. These algorithms guarantee efficient battery operation and optimum electrical assistance for the cyclist. In this article, we’ll explore the basics of electric bike motors, the different types of motors, key components, control algorithms, sensors used and future prospects for this exciting technology.

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Electric bike motor basics

Electric bike motors are powered by a battery which, depending on the electrical assistance required, supplies energy to the motor. Motors can be installed on the front wheel, rear wheel or in the crankset (at Syklo we use a crankset motor). Modern electric bike motors are equipped with speed, cadence, torque and power sensors that provide the information needed for the control algorithms to function correctly.

The different types of motors

There are several types of electric bike motors, including brushless motors, DC motors and hub motors.
wheel hub motors
. Brushless and DC motors are the most common and are equipped with sensors that provide speed, cadence and (sometimes) torque information to regulate the amount of electrical energy supplied to the bike’s wheels. Motors integrated into the wheel hub have the advantage of being discreet, but can be more difficult to replace or repair in the event of a problem.

Brushless motors are often considered the best motors for electric bikes. They are quieter, lighter and more energy-efficient than DC motors. Brushless motors are also more reliable and last longer than DC motors.

Motors integrated into the wheel hub are often used for electric folding bikes and electric city bikes. These motors are discreet and do not alter the appearance of the bike. However, they can be more difficult to replace or repair in the event of a problem.

Key components of an electric motor

Electric bike motors are made up of several key components, including a stator, a rotor, a housing and a series of coils. The stator contains the electric coils that produce a fixed magnetic field, while the rotor is equipped with magnetic poles that rotate inside the stator to create motion. The housing holds the motor assembly in place and is designed to prevent damage from weathering and wear.

Stator coils are often made of copper, as copper is an excellent conductor of electricity. The rotor’s magnetic poles are often made of neodymium, as neodymium is a very powerful permanent magnet. Permanent magnets are used in electric motors because they are more efficient than electromagnets, which require energy to create a magnetic field.

The importance of the algorithm in engine operation

Control algorithms are essential for the operation of electric bike motors. These algorithms regulate the amount of electrical energy supplied to the motor according to the data provided by the sensors. Control algorithms ensure that the battery is working properly and optimize the efficiency of electric assistance for the cyclist.

Control algorithms can (sometimes) be customized to suit the rider’s preferences. For example, some cyclists prefer a stronger electric assistance for uphill riding, while others prefer a weaker assistance for more intense training. With our bike electrification kit, the control algorithms can be adjusted to suit these individual preferences.

Control algorithms can also be used to monitor battery condition and prevent overcharging or overdischarging. Control algorithms can adjust the amount of electrical energy supplied to the motor according to the battery charge, to ensure maximum battery life. All these components and more are available through the Open Source Firmware we use at Syklo.

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Engine control algorithms (or FOC for the experts)

The electric motor control algorithms are designed to provide the optimum electric assistance for the rider. The control algorithms are responsible for regulating speed, managing electric assistance and optimizing battery autonomy.

Electric motor control algorithms are becoming increasingly sophisticated and are designed to provide a more pleasant and safer riding experience for the cyclist. Control algorithms are regularly updated to improve the performance and efficiency of electric assistance. Unfortunately, electric bike stores often charge for this upgrade.

Speed control

Speed control is essential for cyclist safety. Control algorithms regulate motor speed according to rider speed and driving conditions. Control algorithms ensure that the electric motor does not exceed legal speed limits (25km/h in France), and provide optimum assistance for the cyclist.

Speed control is particularly important in urban areas where traffic is dense and the risk of accidents is high. The control algorithms are designed to detect sudden changes in speed and adjust the electric assistance accordingly.

Managing electric assistance

Control algorithms also regulate the amount of electric assistance provided by the motor. The control algorithms take into account the power required to climb a hill, to drive on flat ground or to descend a slope. The control algorithms provide optimum electrical assistance for the rider according to his or her needs.

Electric assistance management is essential for cyclists who use their electric bikes for daily commuting. Control algorithms are designed to detect changes in terrain and adjust electric assistance accordingly. This allows cyclists to cover longer distances without tiring.

Optimizing battery life

Control algorithms are also designed to optimize battery autonomy for longer life. Control algorithms regulate the amount of electrical energy supplied to the motor to ensure that the battery does not discharge too quickly. Control algorithms guarantee sufficient battery life for the cyclist’s needs.

Optimizing battery life is particularly important for cyclists who use their electric bikes for long-distance journeys. Control algorithms are designed to detect battery charge levels and adjust electric assistance accordingly. This allows cyclists to cover longer distances without having to recharge their batteries as often.

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Sensors and data used by algorithms

The control algorithms depend on the data supplied by the motor sensors to function correctly. Sensors track speed, cadence, torque and power to regulate the amount of electrical energy delivered to the bike’s wheels.

Speed and cadence sensors

Speed and cadence sensors measure crankset rotation speed and pedaling cadence to regulate the amount of electrical energy supplied by the motor. These sensors are essential to guarantee optimum electrical assistance for the cyclist.

Cycling is very popular in France, and many people use it to get around on a daily basis. Speed and cadence sensors are therefore very useful in helping cyclists maintain a constant speed and pedal efficiently.

What’s more, these sensors can be used to track the cyclist’s progress over time. Speed and cadence data can be recorded and analyzed to help the cyclist improve performance.

Torque and power transducers

Torque and power sensors provide information on the amount of force exerted on the pedals and the amount of power generated to turn the engine. This data is used to regulate the electrical assistance provided by the motor, for a more efficient and personalized ride.

In France, the mountains are a popular playground for cyclists. Torque and power sensors are therefore particularly useful in helping cyclists climb hills with greater ease.

These sensors can also be used to monitor the rider’s progress in terms of strength and power. Torque and power data can be recorded and analyzed to help the rider improve strength and power.

Integration of GPS and environmental data

Speed and cadence sensors can also be integrated with GPS data for more personalized electric assistance. The integration of environmental data, such as temperature and humidity, can also optimize electric assistance for a more pleasant riding experience.

In France, there are many cycle paths available for cyclists. The integration of GPS data can help cyclists navigate these trails and discover new routes.

In addition, the integration of environmental data can help cyclists adapt to changing weather conditions. For example, if the temperature is high, electric assistance can be increased to help the cyclist pedal more easily.

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Now you know all about the benefits of our bike electrification kit with the TSDZ2b torque-sensor motor and Open Source firmware, which together offer an electric bike riding experience worthy of top-of-the-range EABs. To find out more about our different kits, take a look at the configurator!

electrification velo ELOPS 900 Décathlon samuel

540Wh battery (approx. 70km)

Pedal motor with torque sensor (250W and 80N.m)

Display with Open Source firmware

Give new life to your favorite bike

Good for your finances, good for the environment!

*From €850 with battery 🫣

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