一种电动轮椅的智能路径规划及避障系统
By integrating multi-sensor fusion and intelligent path planning, combined with SLAM and DWA algorithms, the problem of electric wheelchairs being unable to respond in time when encountering sudden pedestrians or moving objects has been solved. This has enabled barrier-free automatic obstacle avoidance and global path planning, lowered the operational threshold, and improved the safety and convenience of electric wheelchairs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- TAIZHOU DINGJI POWER TECH CO LTD
- Filing Date
- 2025-09-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing electric wheelchairs cannot respond promptly to sudden pedestrians or moving objects and lack global path planning capabilities, resulting in a high operating threshold for users and risks of collisions and tipping over.
Employing a multi-sensor fusion perception module, intelligent path planning algorithm, and fault feedback system, including LiDAR, ultrasonic sensors, IMU, and encoders, combined with SLAM and DWA algorithms, it generates accurate obstacle and attitude data, realizing a collaborative logic of barrier-free manual operation and obstacle-first automatic obstacle avoidance, and ensuring system stability through motor drive control and power management.
It enables safe and autonomous movement without the need for continuous user judgment, lowers the operational threshold, reduces the risk of collision, and ensures the safety and convenience of electric wheelchairs in complex environments.
Smart Images

Figure CN224519187U_ABST
Abstract
Claims
1. An intelligent path planning and obstacle avoidance system for an electric wheelchair, characterized in that, This includes an electric wheelchair, which is jointly controlled by a multi-sensor sensing module, a main controller, a motor drive control module, a power management module, and a fault feedback module. The multi-sensor sensing module is fixedly installed at the front, rear and sides of the electric wheelchair. The multi-sensor sensing module includes a lidar, an ultrasonic sensor group, an IMU and an encoder. The ultrasonic sensor group contains 4 sensors. The lidar is connected to the vehicle body through a shock-absorbing bracket. The ultrasonic sensors are horizontally arranged facing the outside of the wheelchair. The IMU is integrated into the center of the wheelchair chassis. The encoder is coaxially installed at the drive shaft end of the electric wheelchair. The main controller is connected to the multi-sensor sensing module through multiple IO pins, ADC pins and communication interfaces to receive and process sensor data. The motor drive control module is connected to the PB14 and PB15 ports of the main controller and is used to receive PWM commands output by the main controller to drive the dual brushless DC motors of the electric wheelchair. The power management module is connected to the PB0 port of the main controller and includes a battery pack, a step-down chip, and a voltage regulator chip, used to provide adaptive voltage for each module; The fault feedback module is connected to the PC0 and PC1 ports of the main controller and includes a display screen, a buzzer alarm, and red / yellow status indicator lights, used to monitor and provide feedback on system fault status. 2.The intelligent path planning and obstacle avoidance system of the electric wheelchair of claim 1, wherein: The lidar is designed with an IP65 waterproof rating and is connected to the CAN1 interface of the main controller via a CAN bus for collecting point cloud data of long-distance obstacles. 3.The intelligent path planning and obstacle avoidance system of the electric wheelchair of claim 1, wherein: The four ultrasonic sensors are respectively installed at the four corners of the wheelchair and connected to the main controller via GPIO pins to supplement the detection of obstacles in near blind spots. 4.The intelligent path planning and obstacle avoidance system of the electric wheelchair of claim 1, wherein: It also includes a remote control module, which includes a remote controller and a remote control receiver. The remote controller is equipped with an obstacle avoidance start / stop button and a manual / automatic switching button. The remote control receiver is connected to the PC6 and PC7 ports of the main controller to receive remote control signals. 5.The intelligent path planning and obstacle avoidance system of electric wheelchair of claim 1, wherein: The motor drive control module supports PWM speed regulation and has a maximum output current of 3A. Turning can be achieved by adjusting the speed difference between the two motors through the main controller. 6.The intelligent path planning and obstacle avoidance system of electric wheelchair of claim 1, wherein: The power management module can step down the 12V battery voltage to 5V to power the lidar and the ultrasonic sensor. The power management module can also regulate the 5V voltage to 3.3V to power the main controller, the IMU and the encoder. Each module's power input terminal is connected in parallel with a 10μF electrolytic capacitor and a 100nF ceramic capacitor for filtering. 7.The intelligent path planning and obstacle avoidance system of electric wheelchair of claim 1, wherein: The display screen of the fault feedback module is connected to the SPI interface of the main controller and is used to display the wheelchair speed, remaining power, and fault codes. The buzzer alarm will sound continuously when there is a malfunction, and the red status indicator light will remain on. In the event of a minor malfunction, the yellow status indicator light flashes at 1Hz, and the buzzer alarm sounds intermittently. 8.The intelligent path planning and obstacle avoidance system of electric wheelchair of claim 1, wherein: The IMU integrates a three-axis accelerometer and a three-axis gyroscope, and is connected to the PB6 and PB7 ports of the main controller via an I2C interface. It integrates with the encoder data to achieve attitude drift calibration.
9. An electrically powered wheelchair, characterised in that The intelligent path planning and obstacle avoidance system of the electric wheelchair as claimed in any one of claims 1-8 is installed on a wheelchair body.