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Plug-in hybrid electric vehicle energy management method based on multi-element information fusion

ActiveCN115534929BIncrease optimization potentialSolve the problem of shrinking the feasible solution setControl setPlug in hybrid electric vehicle
The present application relates to a kind of based on multi-element information fusion plug-in hybrid electric vehicle energy management method, comprising: obtaining adaptive fuzzy reasoning system model, vehicle speed sequence prediction model and SOC reference trajectory estimator;Real-time calculation current time transmission ratio, future finite time domain within the vehicle speed prediction sequence and future finite time domain within the SOC final value, based on Pontryagin minimum principle within the finite time domain rolling optimization, obtain the reference covariant variable within the time domain;If there is solution in rolling optimization, then use reference covariant variable in subsequent control domain to carry out open-loop Pontryagin minimum optimization, obtain corresponding control set, if there is no solution in rolling optimization, then execute SOC follow strategy.Compared with prior art, the present application will transmission ratio selection and torque distribution be jointly included in the category of energy management, and multi-element driving information is fused, and double-layer strategy of rolling optimization and SOC follow is proposed, which effectively improves the effect of plug-in hybrid electric vehicle energy management strategy.
Owner:TONGJI UNIV