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Design Strategies for Stack-Based Piezoelectric Energy Harvesters near Bridge Bearings
Philipp Mattauch1, Oliver Schneider2, Gerhard Fischerauer1
1Chair of Measurement and Control Systems and Center for Energy Technology (ZET), University of Bayreuth, 95447 Bayreuth, Germany.
This study optimizes piezoelectric energy harvesting systems (pEHSs) for bridge monitoring. Co-optimizing mechanical and electrical designs maximizes energy output, enabling wireless sensors and traffic analysis.
Area of Science:
- Energy Harvesting
- Structural Health Monitoring
- Mechanical Engineering
- Electrical Engineering
Background:
- Many bridges require condition monitoring due to significant deterioration.
- Wireless sensors powered by energy harvesting systems (EHSs) are crucial for monitoring dynamically loaded structures.
- Piezoelectric energy harvesters (pEHs) offer a direct relationship between exciting force and electrical signal output.
Purpose of the Study:
- To present a novel co-optimization approach for mechanical and electrical components of stack-based piezoelectric energy harvesting systems (pEHSs).
- To maximize energy output for powering wireless sensors in bridge monitoring applications.
- To explore the potential of pEHSs for traffic observation and structural condition assessment.
Main Methods:
- Developed a co-optimization approach using a nonlinear solver for mechanical and electrical components.
- Estimated mechanical excitation via finite element simulation.
- Modeled electric circuitry in Simulink, incorporating nonlinear characteristics of rectifying diodes.
- Utilized real traffic data for statistical randomized scenarios and variation analysis.
Main Results:
- Revealed a strong dependence of energy output on the interaction between bridge, harvester, and traffic dynamics.
- Established design criteria for pEHSs to maximize energy output.
- Demonstrated the feasibility of harvesting several milliwatts of time-averaged power on a medium-sized bridge.
- Validated the suitability of pEHSs for powering wireless sensor nodes and for traffic observation (vehicle frequency, weight, axle load).
Conclusions:
- The co-optimization methodology effectively maximizes energy harvesting from dynamic bridge loads.
- pEHSs are a viable solution for powering wireless sensor nodes for structural health monitoring and traffic analysis.
- The developed approach provides essential design insights for future pEHS implementations in civil infrastructure.
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