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To optimize the comprehensive performance of electric vehicles (EVs) equipped with automated manual transmission (AMT), a performance evaluation function that takes into account dynamic performance, economic performance and driver's driving intentions is put forward. The approach proposed in this paper is based on a gearshift schedule optimization method based on genetic algorithm (GA) using the evaluation...
As a new type of automatic transmission in recent several years, dual clutch transmission (DCT) owns the advantages of both automated manual transmission (AMT) and hydraulic automatic transmission (AT), and shows a huge development potential in automatic transmission family. In this paper, a dynamic model of the shift process for a six-speed wet-type DCT is presented, the simulation model has been...
Precise description of the engine dynamic characteristics plays a crucial role in automatic gear-shifting decision making for the performance match and optimization of vehicle power-train system. In this paper, a multi-layer feed forward neural network was proposed to identify the dynamic torque and fuel consumption models of engine. Based on the neural network models, algorithms to calculate the...
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