The Concept of Using an Expert System and Multi-Valued Logic Trees to Assess the Energy Consumption of an Electric Car in Selected Driving Cycles

• Published in: Energies (Basel) 2022-07, Vol.15 (13), p.4631
• Main Authors: Deptuła, Adam, Augustynowicz, Andrzej, Stosiak, Michał, Towarnicki, Krzysztof, Karpenko, Mykola
• Format: Article
• Language: English
• Subjects: Algorithms; Ambient temperature; Artificial intelligence; Classification; Data mining; Decision making; Decision trees; Driving ability; Dynamic programming; Efficiency; electric car; Electric vehicles; Energy consumption; Energy management; Expert systems; Explicit knowledge; Fuzzy logic; Fuzzy sets; Knowledge discovery; Machine learning; multi-valued logic trees; Multivalued logic; Objective function; Open systems; Optimization; Set theory; Trees
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en15134631

This paper presents the concept of an expert system supporting the decision-making process of rational energy consumption by an electric car. The driving style and the average speed achieved are very important in terms of the driving range. In addition, the influence of ambient temperature on the efficiency of the electric vehicle and ultimately on energy consumption is very important. The proposed system, based on the method of multi-valued logic trees, allows minimizing the objective function, which is aimed at minimizing the energy consumption of an electric car at different ambient temperatures. The generated decisions, directed to the energy management system, can be processed in a variety of temporal and situational dimensions. The application of the system can also provide prompts to the driver on how to adjust the driving style by operating the accelerator and brake pedal. The expert system is an open system, allowing for further generalizations and modifications.