Collaborative optimization energy management method of parallel hybrid electric vehicle
A hybrid electric vehicle and collaborative optimization technology, applied in hybrid electric vehicles, motor vehicles, data processing and management, etc., can solve a large number of floating-point calculations, poor real-time performance and other problems
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[0094] 1) Parallel hybrid vehicle model parameters The vehicle mass is 1350 kg, the air resistance coefficient CD=0.335, the windward area FA=2.0 square meters, the wheel rolling radius Rr=0.282m, the rolling damping coefficient f=0.009, and the average transmission efficiency ηt=0.85 .
[0095] 2) Parallel hybrid electric vehicle engine model: parameters: model is FC_SI41_emis, maximum power / speed=41kw / 5700r.min-1. Maximum torque / speed = 81N.m / 3500r.min-1.
[0096] 3) Parallel hybrid electric vehicle motor model parameters: model is MC_AC75, rated power PN=75kw, rated speed nN=2000r / min, maximum speed nmax=10000r / min, average efficiency 0.92.
[0097] 4) Parallel hybrid electric vehicle battery model Ni-MH battery parameters: the model is ESS_NIMH28_OVONIC, the standard discharge capacity is 28Ah, and the number of battery blocks is 50.
[0098] Furthermore, after the hybrid vehicle model is established, the collaborative optimization energy management system is established...
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