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Design Framework for Context-Adaptive Control Methods Applied to Vehicle Power Management
Sudarsan Kumar Venkatesan,Rian Beck,Sorin Bengea,Joram Meskens,Bruno Depraetere 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
The paper presents a combined data-driven and model-based design framework for context-adaptive algorithms applied to the power management of a hybrid electric vehicle. Focused on this application, a set of predefined driving contexts are derived from multiple standard driving cycles. The first contribution consists of computing optimal control parameters associated with power management for each driving context. The second contribution consists of customized supervised classification algorithms for estimating driving contexts. The context-adaptive tool chain integrates context-estimation and subsequent adaptation of control parameters. Simulation results illustrate energy-efficiency benefits of the context-adaptive control method in multiple scenarios.