E-bike Motor Control for Obstacle Detection
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Solution Overview
Problem
Conventional vehicles drivable by muscle power and motor power, such as electric bicycles, do not effectively account for obstacles on the route, leading to potential difficulties in overcoming them safely and efficiently.
Innovation Solution
An operating method that detects obstacles using sensors for vertical acceleration, handlebar grip force, wheel position changes, tire pressure, and inertial signals, and adapts the motor drive by increasing torque, support factor, or extending post-acceleration to facilitate smoother passage over obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional motor drive control based on torque and rotational speed measurements is used, then the control system remains simple, but obstacles on the course cannot be effectively detected or overcome
Solution Approach 1:
The control unit is designed to perform multiple functions: it processes traditional torque and rotational speed measurements for basic motor control, while simultaneously evaluating multiple sensor signals (acceleration, handlebar grip force, wheel position, tire pressure, inertial measurements) to detect obstacles and adapt the motor drive accordingly. This multi-functional approach allows a single control unit to handle both simple control tasks and complex obstacle detection without requiring separate dedicated systems.
Solution Approach 2:
The system continuously monitors multiple sensor parameters in advance to detect potential obstacles before they become critical issues. By evaluating acceleration changes, handlebar grip forces, and wheel position variations proactively, the control unit can prepare appropriate motor responses ahead of time, enabling smoother obstacle overcoming rather than reactive control after the obstacle is fully encountered.
2Measurement precision
If multiple sensor parameters are monitored to detect obstacles, then obstacle detection accuracy improves, but the measurement and control complexity increases
Solution Approach 1:
The patent combines multiple sensor measurements (acceleration sensor, handlebar grip force sensor, wheel position sensor, tire pressure sensor, inertial sensor system) into a unified obstacle detection process handled by a single control unit. Rather than processing each sensor independently through separate systems, the control unit integrates all these measurements to comprehensively evaluate obstacle presence, reducing overall system complexity while maintaining high detection accuracy.
Solution Approach 2:
The control unit continuously evaluates sensor measurements and uses feedback to adapt the motor drive operation in real-time. When obstacles are detected through any of the sensor parameters, the control unit adjusts motor torque and support factors based on the evaluated data, creating a closed-loop control system that improves measurement effectiveness by actively using the measurements for immediate operational adjustments.
3Reliability
If motor torque is increased to overcome obstacles, then obstacle crossing capability improves, but energy consumption increases
Solution Approach 1:
The motor drive operation is made dynamic and adaptive rather than static. The control unit continuously adjusts motor torque and support factors based on real-time obstacle detection and evaluation. When obstacles are detected, torque is increased appropriately; when no obstacles are present, torque returns to normal levels. This dynamic adjustment ensures high obstacle crossing capability while minimizing unnecessary energy consumption during normal riding conditions.
Solution Approach 2:
The system changes operational parameters (motor torque, support factor, post-acceleration time) based on detected obstacle conditions. Rather than maintaining high torque continuously, the control unit modifies these parameters adaptively - increasing torque and support factors only when obstacles are detected, and extending post-acceleration time specifically when needed for obstacle overcoming. This parameter-based adaptation optimizes the balance between obstacle crossing capability and energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables safer and more efficient navigation over obstacles by dynamically adjusting motor support based on real-time sensor data, preventing abrupt velocity drops and improving overall control during encounters with obstacles.
Implementation Method 1
a raising or lift-off of a front wheel of the vehicle, in particular, via an acceleration signal regarding a vertical acceleration
Implementation Method 2
a strong pulling on a handle bar grip of the vehicle
Implementation Method 3
a strong negative velocity gradient at the rear wheel, in particular via a rotational speed sensor at the rear wheel
Implementation Method 4
one or multiple hard deflections in an inertial sensor system
Data Source
AI summary
An operating method for a motor drive of a vehicle drivable by muscle power and additionally by motor power, and, in particular, for an electric bicycle, an e-bike, a pedelec, an S-pedelec and the like. The method includes the steps: (i) ascertaining whether and/or in what way an obstacle on a driving route of the vehicle is present directly at the vehicle; (ii) conditionally adapting an operating state of the motor drive as a function of a result of the ascertainment; and (iii) driving the vehicle with the aid of the motor drive in the adapted operating state, as well as to a corresponding control unit and to a vehicle per se.