Analysis, Prototyping, and Experimental Characterization of an Adaptive Hybrid Electromagnetic Damper for Automotive Suspension Systems
Bibliographic record
Abstract
In this paper, the concept of hybrid electromagnetic damping is explored and experimentally evaluated. The aim of the hybrid electromagnetic damping concept is to address the adaptive damping problem in vehicle suspension systems. In order to reach optimal performance, the damping characteristics of the vehicle suspension system must be capable of adaptively increasing or decreasing the amount of energy being absorbed by the system. For the sake of having the requisite functionality of variable damping, a multitude of solutions have been implemented, proposed, and evaluated at both the commercial and academic research levels. These solutions have met the variable damping requirements, but still, there are several crucial drawbacks associated with them. To overcome the shortcomings associated with the aforementioned variable damping solutions, a hybrid design consisting of a conventional hydraulic damper and a linear motor topology is fused together to build a hybrid variable damper. In the proposed hybrid electromagnetic design, the oil in the system acts as bias to provide fail-safe operation for the system, and the linear motor topology allows the requisite variable damping requirement to be achieved with the additional capacity for recovering energy from the system. We present an extended analysis of the electromagnetic damping component of the hybrid damper that can serve as a potent tool for the designers who seek to maximize the adaptability (and regeneration capacity) of the hybrid damper. Afterwards, based on the proposed hybrid electromagnetic concept, the design and fabrication of the first prototype are illustrated. An experimental setup and a test protocol are prepared, and different experiments are conducted to characterize the damping properties of hydraulic and electromagnetic components. Furthermore, friction forces, as well as power capacities, are scrutinized. The results indicate that the hybrid electromagnetic damper prototype is capable of providing a variable damping coefficient in a range of 1302-1540 N·s/m.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".