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ON-BOARD PREDICTION OF POWER CONSUMPTION IN AUTOMOBILE ACTIVE SUSPENSION SYSTEMS—I: PREDICTOR DESIGN ISSUES

✍ Scribed by R. Ben Mrad; S.D. Fassois; J.A. Levitt; B.I. Bachrach


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
615 KB
Volume
10
Category
Article
ISSN
0888-3270

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✦ Synopsis


On-board prediction of automobile active suspension power consumption is considered important in securing fast engine response and avoiding potential vehicle hesitation or surge. In this study the problem is considered within the context of a broad-bandwidth hydraulic active suspension design, with the following main objectives: (a) power consumption prediction feasibility assessment, (b) examination of predictor design options, and (c) achievable prediction accuracy assessment.

In this part I the first two objectives are pursued based on a detailed, non-linear, mathematical system model. The power consumption signal is found to be non-stationary, but stationarity is shown to be possible to impose through a moving-average transformation. Predictor design options are then considered: first, the wheel vertical acceleration is shown to be ineffective as a prediction leading indicator; second, the relative merits of time/step-recursive and time-recursive predictor realizations are examined, and the latter are shown to be presently preferable from the point of view of computational complexity, error propagation, and predictor stability; third, indirect (standard) vs. direct predictor types are considered, and a direct predictor is developed based on a novel estimator characterised by features important for on-board implementation.


📜 SIMILAR VOLUMES


ON-BOARD PREDICTION OF POWER CONSUMPTION
✍ R. Ben Mrad; S.D. Fassois; J.A. Levitt; B.I. Bachrach 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 449 KB

The focus of this part of the paper is on validation and performance evaluation. The indirect (standard) and novel direct predictors of part I, which use time-recursive realisations and no leading indicators, are critically compared by using the non-linear active suspension system model. The results