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2025 | OriginalPaper | Buchkapitel

Pedestrian-Aware Cyber-Physical Optimisation of Hybrid Propulsion Systems Using a Fuzzy Adaptive Cost Map and Bees Algorithm

verfasst von : Ji Li, Mingming Liu, Chongming Wang, Yingqi Gu, Quan Zhou, Chengqing Wen, D. T. Pham, Hongming Xu

Erschienen in: Intelligent Engineering Optimisation with the Bees Algorithm

Verlag: Springer Nature Switzerland

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Abstract

Electrified propulsion systems are a promising way of reducing traffic-related pollution. Because of the characteristics of the exhaust systems of engine-assisted vehicles, it is possible that pedestrians in close proximity to vehicles may encounter situations with high enough concentrations of emissions to cause specific health effects. To decrease the impact of vehicle emissions and pollutants on surrounding pedestrians, this chapter presents a cyber-physical optimisation technique for the pedestrian-aware supervisory control strategy of hybrid propulsion systems. The technique is a combination of the Bees Algorithm and a fuzzy adaptive cost map to optimise the rule-based power-split parameters. It is capable of self-adjusting the intertarget weights of exhaust emissions and fuel with real-time pedestrian density information during the optimisations. To examine the robustness of the hybrid propulsion system optimised by the introduced technique, the effects of communication quality and bootstrap sampling techniques are studied. The results show that applying the developed fuzzy adaptive cost map can reduce emissions to nearby pedestrians by 14.42%.

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Titel: Pedestrian-Aware Cyber-Physical Optimisation of Hybrid Propulsion Systems Using a Fuzzy Adaptive Cost Map and Bees Algorithm
verfasst von: Ji Li
Mingming Liu
Chongming Wang
Yingqi Gu
Quan Zhou
Chengqing Wen
D. T. Pham
Hongming Xu
Verlag: Springer Nature Switzerland
Buch: Intelligent Engineering Optimisation with the Bees Algorithm
Print ISBN: 978-3-031-64935-6

Electronic ISBN: 978-3-031-64936-3

Copyright-Jahr: 2025
DOI: https://doi.org/10.1007/978-3-031-64936-3_19

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