Fuzzy logic control for parallel hybrid vehicles

By Niels J. Schouten, M. Salman, N. Kheir. IEEE Transactions on Control Systems Technology, 2002

576 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bc158c25c3df049630bb1f2ec989d12b38a83adc

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In Automotive Engineering

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Citations in the corpus

Energy management strategies for vehicular electric power systems (2005, unknown): “Strategies that are based on heuristics can be easily implemented in a real vehicle by using a rule-based strategy [8] or by using fuzzy logic [9].”
Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends (2007, background): “[17] devised a control strategy, taking the efficiencies of other components, i.”
A Stochastic Optimal Control Approach for Power Management in Plug-In Hybrid Electric Vehicles (2011, background): “Rule-based approaches, in comparison, constrain the power split within a hybrid vehicle to depend only on the vehicle's current state and input variables (e.g., vehicle/engine speed, battery charge, power demand, etc.) through some map, or rule base [13] [14] [15] [16] [17] [18] [19].”
A Pontryagin Minimum Principle-Based Adaptive Equivalent Consumption Minimum Strategy for a Plug-in Hybrid Electric Bus on a Fixed Route (2017, background): “In general, the most common on-broad strategy is on the basis of either the threshold rules or the rules governed by the fuzzy logic or even extracted from global optimization results [7,8].”
A stochastic control strategy for hybrid electric vehicles (2004, methodology): “Many existing power management strategies employ heuristic control techniques such as rules/fuzzy logic for the control algorithm development [1, 2].”
Intelligent energy management agent for a parallel hybrid vehicle-part I: system architecture and design of the driving situation identification process (2005, background): “eral fuzzy logic-based energy management strategies have been proposed in [7]–[15].”
A survey on industrial applications of fuzzy control (2011, unknown): “The control of hybrid electric vehicles is treated in [62] and the complexity of all related control strategies is emphasized in [63].”