Title: Investigation of real-time adaptive energy management strategy for a series-parallel hybrid electric bus

Authors: Xinyou Lin; Liuqing Zhai; Haibo Lin

Addresses: College of Mechanical Engineering and Automation, Fujian Provincial Collaborative Innovation Center for High-end Equipment Manufacturing, Fuzhou University, Fuzhou 350000, China ' College of Mechanical Engineering and Automation, Fujian Provincial Collaborative Innovation Center for High-end Equipment Manufacturing, Fuzhou University, Fuzhou 350000, China ' College of Mechanical Engineering and Automation, Fujian Provincial Collaborative Innovation Center for High-end Equipment Manufacturing, Fuzhou University, Fuzhou 350000, China

Abstract: To improve fuel economy of a novel series-parallel hybrid electric bus (SPHEB) further, the control rule of battery power distribution is derived from the offline optimisation algorithm based on Pontryagin's minimum principle, internal relationship between the equivalence fuel factor λ and trend of state of charge (SOC) with different driving condition is established and calculation model of SOC is formed. On the basis of the above, according to the feature of the city bus driving cycle, the algorithm of adaptive fuzzy sliding-mode control (AFSMC) is introduced to periodically update the equivalence fuel factor, and then the power-balancing adaptive control strategy is developed. To validate the proposed strategy rationality, the hardware in-the-loop integrated with bench test is applied to compare the proposed control strategy with the previous optimal control strategy. The results indicate that the efficiency of SPHEB system is improved by the proposed control strategy.

Keywords: city buses; urban transport; hybrid electric buses; hybrid electric vehicles; HEVs; hybrid vehicles; fuel economy; energy management; battery power distribution; adaptive control; Pontryagin minimum principle; equivalence fuel factor; fuzzy SMC; fuzzy control; sliding mode control; hardware-in-the-loop; HIL; PBACS; power balancing; optimisation; state of charge; SOC; optimal control.

DOI: 10.1504/IJEHV.2016.080014

International Journal of Electric and Hybrid Vehicles, 2016 Vol.8 No.3, pp.195 - 212

Available online: 27 Oct 2016

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