Methodology for Evaluating the Efficiency of Control Algorithms for a Dual-channel Individual Electric Drive
Abstract
Abstract. The article develops a methodology for evaluating the efficiency of control algorithms for a dual-channel individual electric drive of an electric vehicle in virtual and virtual-physical tests. The relevance of the study is due to the fact that a correct comparison of traction and anti-slip control algorithms depends not only on their logic, but also on the adopted test scenario, the method of recording energy indicators, the structure of the test mode, and the consistency between the stages of mathematical modeling and bench verification. The aim of the study is to form a reproducible methodological basis for comparing control algorithms under identical operating conditions close to real urban vehicle operation, with the possibility of further transferring the evaluation logic from a numerical experiment to a hardware-software loop. The proposed methodology provides for the sequential implementation of virtual and virtual-physical tests
within a unified approach to test-mode formation and result processing. The urban driving cycle TRRL 1.1 is used as the basic speed profile, since it reflects the characteristic alternation of acceleration, deceleration, stops, and steady-speed sections. To reproduce variable wheel-road interaction conditions, the test scenario is supplemented with a probabilistic distribution of road-surface types. In the proposed configuration, low-adhesion sections are represented by stochastic alternation of wet asphalt and compacted snow, which makes it possible to simulate both symmetric and asymmetric adhesion conditions for the right and left sides of the vehicle and to reproduce more realistic wheel-slip scenarios.
The evaluation criteria system is formed on the basis of total average wheel efficiency in traction mode over the cycle, total average electric-drive-system efficiency, overall total traction-system efficiency, and electric energy consumption over the cycle. This set of indicators makes it possible to account comprehensively for both losses associated with electromechanical energy conversion and losses caused by traction-force realization and slip modes. It is shown that the combination of an urban driving cycle with stochastic variation of road conditions provides a more informative, objective, and reproducible basis for comparing control algorithms than simplified scenarios with constant adhesion properties. The practical significance of the work lies in the possibility of using the proposed methodology for preliminary selection, tuning, and further quantitative comparison of specific control algorithms for a dual-channel individual electric drive within a unified test environment.
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