According to the parameters of a pure electric SUV equipped with a CVT(continuously variable transmission) gearbox, this paper matches the parameters of the drive motor, drive battery, and transmission system. According to the matching parameters, AVL Cruise software was used to model the entire vehicle, and the power and economy of the vehicle were analyzed. The simulation results demonstrated that the matching outcomes satisfied the needs for both power and economics. In order to further improve the economy of pure electric vehicles, the vehicle model is optimized with the final ratio of the vehicle as the optimization parameter and the power consumption per 100 kilometers under NEDC operating conditions as the objective function. On the premise that the power performance meets the requirements, the optimization results show that before and after optimization, the power consumption per 100 Km under NDEC (new European driving cycle) operating conditions is reduced by 1.02KWh, a reduction of 6.01%, and the power consumption per 100 kilometers under WLTP(world light vehicle test procedure) operating conditions is reduced by 0.91KWh, a reduction of 4.97%.
Fiber optic gyro inertial navigation system (FOGINS), as a kind of navigation equipment with high accuracy, wide dynamic range, and simple mechanical structure, is widely used in moving platforms such as vehicles, aircraft, and ships. For some motion platforms, such as vehicles and aircraft, the FOGINS can be provided with a stationary state so as to realize the initial alignment under static base conditions. However, some motion platforms, such as ships and floating balloons, are always in a swaying state and cannot provide a stationary state for the FOGINS. In such special motion platforms, only the dynamic base initial alignment technique can be implemented. This paper proposes a moving base simulation method, through the simulation, and observed the mainstream initial algorithm effect under different conditions, and categorized to make the relevant analysis, provides a number of engineering guidance strategy, through these strategies, can effectively avoid huge errors of initial alignment, which affect the subsequent positioning accuracy.
Aiming at a two-speed AMT (Automatic Mechanical Transmission) pure electric MPV, according to the economic and dynamic indicators of the vehicle, the drive motor, power battery, transmission and other components of the vehicle are matched, and the AVL Cruise software is used to establish a pure electric MPV vehicle model. On this basis that the power and economy meets the demand, a combined simulation between Cruise and Isight is designed to further improve the economy. The MIGA (Multi Island Genetic Algorithm) is utilized to optimize the gear shifting speed and load state, and the performance simulation of pure electric MPV is carried out on the optimization results. The results show that under NEDC (New European Driving Cycle) condition, the power consumption per 100 kilometers after the optimization is reduced by 0.46kWh compared with that before the optimization, and the economy is increased by 3.03%.
Research was carried out on the pure electric sport utility vehicle (SUV) transmission system coupled with 6-speed dual clutch transmission (DCT). Based on AVL Cruise software, the car is modeled, and the software simulation results meet the constraints. To further improve the performance, it is equipped with the joint simulation model of Isight and Cruise, adopts non-dominated sorted genetic algorithm II (NSGA-II), takes the transmission ratio of the pure electric SUV transmission system as the optimization parameter, the NEDC cycle The power consumption per 100 kilometers and the acceleration time to 100 kilometers under working conditions are optimized by multi-objective optimization calculations. The optimization results are entered into cruise software for review, and the outcome shows that, compared with before optimization, the power consumption per 100 kilometers of the NEDC cycle is reduced by 1.39kWh, and the economy is improved by 11.02%; the acceleration time to 100km/h is reduced by 0.81s, and the dynamic performance is increased by 7.03%
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