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The dynamic and system reliability of driving system in battery electric vehicles (BEVs) highly depend on the fault diagnosis technology. In this paper, we provided a new data compression approach and validated it on a method based on neural network (NN) to detect both failures' types and degree in drive system. In time-/frequency domain several statistical features were extracted from signals acquired...
Prognostics and health management (PHM) can ensure that a battery system is working safely and reliably. Remaining useful life (RUL) prediction, as one main approach of PHM, provides early warning of failures that can be used to determine the necessary maintenance and replacement of batteries in advance. The existing RUL prediction techniques for lithium-ion batteries are inefficient to learn the...
To develop an efficient real-time supervisory control strategy for a series hybrid electric bus, three kinds of popular strategies were compared in principle; backward simulations in ADVISOR were conducted for these strategies. Comparative simulation results shows that thermostat control strategy makes the internal combustion engine operate at its most efficient condition; power follower control strategy...
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