2023 Fiscal Year Research-status Report
Electrothermal iterative learning control and optimization of electric vehicle operation
| Project/Area Number |
23K03906
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| Research Institution | Kyushu University |
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Principal Investigator |
Nguyen Hoa 九州大学, カーボンニュートラル・エネルギー国際研究所, 准教授 (00801086)
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| Project Period (FY) |
2023-04-01 – 2026-03-31
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| Keywords | iterative learning / control design / nonlinear optimization / electrothermal dynamics / Li-ion battery / electric vehicle |
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| Outline of Annual Research Achievements |
In the FY2023, a novel iterative learning control (ILC) algorithm based on a quadratic performance index with iteration-varying weighting matrices was derived. As a result, this ILC algorithm has iteration-varying learning gains. The superior performances of this algorithm for tracking iteration-varying references compared to that by conventional ILC laws with iteration-invariant learning gains were reported. This algorithm was then applied for the tracking of daily-varying state-of-charge profiles of electric vehicle batteries, whose results showed great potentials.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The derived results so far are matched with the proposed timeline.
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| Strategy for Future Research Activity |
In the next works, more complicated electrothermal models of Li-ion batteries will be taken into account in the design of iterative learning controllers. Additionally, the problem of employing electric vehicle Li-ion battery packs to provide ancillary services will be investigated. In the simulations, realistic and publicly available data will be utilized.
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| Causes of Carryover |
There was a small amount to be used in the next fiscal year, due to a small imbalance between the planned and the actual costs of a business trip in the last month of the FY2023.
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