Piezo energy harvesting AI module for tyre sensor

Piezo energy harvesting AI module for tyre sensor

Technology News |
By Nick Flaherty

TDK has developed an energy harvesting system to power an AI-enabled tyre sensor and wireless data link.

InWheelSense is a multi-mode power generation and sensing module that attaches to the wheel of a vehicle to convert the force of tyre rotation for battery-free sensing and data collection and transmission from the wheel.

The module enables sensing of road surface conditions, wheel alignment, tyre pressure and other conditions in real-time, and can connect to roadside infrastructure for smart mobility applications, says Dr Rakesh Sethi General Manager at TDK’s US R&D Centre for Sensors and Actuators.

The InWheelSense energy harvesting module uses piezoelectric elements to generate electric power from mechanical motion or force. By placing the device at the boundary between the tyre and wheel, the module generates electricity using the force received from the road surface as the tyre rotates.

The architecture allows multiple devices to be connected along the wheel’s circumference, and achieves an average continuous power output of 1mW when driving at 65mph (105km/h) with a Bluetooth Low energy (BLE) wireless link.

The sensors can be used to add additional information during adverse weather or all terrain conditions for driver safety and autonomous driving applications. Because speed, turning, and other changes in operating conditions can cause variations in the electromotive force characteristics of the device, the module can sense various driving conditions using those power changes through analysis of the waveforms from the piezoelectric effect.

Waveforms are output when the tires contact the road surface, so they are continuously generated as the car begins driving. As the speed increases, the frequency of the waveforms also increases, and when the direction of travel changes, the load on the tires will change, creating different waveforms that reflect the driving characteristics at that time.

Because one waveform is outputted for each wheel revolution, the InWheelSense module is able to detect not only the speed during driving, but also road surface conditions based on the shape of the output waveform.

The InWheelSense platform also allows for real-time collection of data from additional wheel sensors (including accelerometers, barometric pressure and temperature) to the onboard computation unit. This control module platform includes power management, digital compute capacity and low power data transmission using BLE.

Data can be stored or processed through an inference engine in the control module, powered by an edge application processor that enables algorithms to make meaningful inferences on the fly. This allows lower-latency control responses without dependency on the cloud at times of adverse weather conditions.

An evaluation kit is available for conducting simple evaluations of the energy-harvesting module as a sample that can be attached to existing wheels. This kit enables wireless collection of data outputted from the device and power generation performance without the need for additional equipment.

Related articles 

Other articles on eeNews Power 

If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :    eeNews on Google News


Linked Articles