Simulation (static & dynamic) and experimental (dynamic) raw data for evaluating the performance of the developed adaptive MPPT algorithm
<p>Open access to experimental data generated by the project Electro-Intrusion (101017858, Horizon 2020, European Union) along with the research on the developed adaptive maximum power point tracking (MPPT) algorithm to achieve boosting efficiency in heterogeneous power scenarios. As part of the project’s work packages (specifically WP4), the published work presented here introduces the development of a chip and corresponding algorithm designed to efficiently convert energy harvested by the regenerative shock absorber into stable DC electricity.</p> <p>Underlying data for the publication Zhao, W. et al. Adaptive MPPT: Boosting efficiency in heterogeneous power scenarios. Sustainable Energy Technologies and Assessments, 2024, 67, 103843. https://doi.org/10.1016/j.seta.2024.103843. Data related to Figures 1b, 4, 5, and 7 in the article.</p> <p>Contact Person: Dr. Weiwei Zhao (Birmingham Centre for Energy Storage, University of Birmingham).</p> <p>ORCID: https://orcid.org/0000-0001-9708-4252</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4
Dataset details
- Repository
- zenodo
- Published
- June 4, 2024
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.13944830
Scored with release 0.9.0
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