TY - GEN
T1 - Power Transfer Optimization for Triboelectric Nanogenerators
AU - Haghshenas, Hosein
AU - Chahari, Mahmood
AU - Salman, Emre
AU - Willing, Ryan
AU - Towfighian, Shahrzad
AU - Stanacevic, Milutin
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - We study the energy harvesting from a triboelectric nanogenerator (TENG) and present a method for optimization of the power delivered to the load. The variable internal capacitance in the TENG model introduces challenge in the design of the loading circuit. Additionally, the transferred power depends on the frequency of the external force and the parasitic capacitor at the load. This calls for adaptive loading and implementation of maximum power point tracking(MPPT) algorithms. We investigate strategies for MPPT in the case of pure resistive load and with additional parallel capacitive load. We demonstrate that when the capacitive load is taken into account, a significant gain in the maximum power delivered to the load can be achieved. We derive the ratio of the output voltage and open-circuit voltage at the generator for the optimal power transfer when the parallel capacitance is present.
AB - We study the energy harvesting from a triboelectric nanogenerator (TENG) and present a method for optimization of the power delivered to the load. The variable internal capacitance in the TENG model introduces challenge in the design of the loading circuit. Additionally, the transferred power depends on the frequency of the external force and the parasitic capacitor at the load. This calls for adaptive loading and implementation of maximum power point tracking(MPPT) algorithms. We investigate strategies for MPPT in the case of pure resistive load and with additional parallel capacitive load. We demonstrate that when the capacitive load is taken into account, a significant gain in the maximum power delivered to the load can be achieved. We derive the ratio of the output voltage and open-circuit voltage at the generator for the optimal power transfer when the parallel capacitance is present.
UR - https://www.scopus.com/pages/publications/85184922891
U2 - 10.1109/BioCAS58349.2023.10388941
DO - 10.1109/BioCAS58349.2023.10388941
M3 - Conference contribution
AN - SCOPUS:85184922891
T3 - BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings
BT - BioCAS 2023 - 2023 IEEE Biomedical Circuits and Systems Conference, Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Biomedical Circuits and Systems Conference, BioCAS 2023
Y2 - 19 October 2023 through 21 October 2023
ER -