本标准适用于主源电压为600V交流电或以下,频率为50或60Hz,用于向带有车载充电装置的电动汽车提供交流电的导电电动汽车(EV)供电设备。本标准适用于不需要通风的电动汽车供电设备。
2021-04-10 09:02:49 24.67MB ul 2594 电动汽车 充电
汽车动力学及控制
2021-04-07 09:03:55 12.47MB 汽车控制 汽车动力学
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In this thesis we consider the problem of designing and implementing Model Predictive Controllers (MPC) for stabilizing the dynamics of an autonomous ground vehicle. For such a class of systems, the non-linear dynamics and the fast sampling time limit the real-time implementation of MPC algorithms to local and linear operating regions. This phenomenon becomes more relevant when using the limited computational resources of a standard rapid prototyping system for automotive applications. In this thesis we first study the design and the implementation of a nonlinear MPC controller for an Active Font Steering (AFS) problem. At each time step a trajectory is assumed to be known over a finite horizon, and the nonlinear MPC controller computes the front steering angle in order to follow the trajectory on slippery roads at the highest possible entry speed. We demonstrate that experimental tests can be performed only at low vehicle speed on a dSPACE rapid prototyping system with a frequency of 20 Hz. Then, we propose a low complexity MPC algorithm which is real-time capable for wider operating range of the state and input space (i.e., high vehicle speed and large slip angles). The MPC control algorithm is based on successive on-line linearizations of the nonlinear vehicle model (LTV MPC). We study performance and stability of the proposed MPC scheme. Performance is improved through an ad hoc stabilizing state and input constraints arising from a careful study of the vehicle nonlinearities. The stability of the LTV MPC is enforced by means of an additional convex constraint to the finite time optimization problem. We used the proposed LTV MPC algorithm in order to design AFS controllers and combined steering and braking controllers. We validated the proposed AFS and combined steering and braking MPC algorithms in real-time, on a passenger vehicle equipped with a dSPACE rapid prototyping system. Experiments have been performed in a testing center equipped with snowy and icy tracks. For both controllers we showed that vehicle stabilization can be achieved at high speed (up to 75 Kph) on icy covered roads. This research activity has been supported by Ford Research Laboratories, in Dearborn, MI, USA.
2021-04-05 03:59:19 4.1MB MPC
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6--ISO_16750-1-2006_Road_vehicles_Part_1-genera
2021-04-04 18:06:14 606KB ISO_16750-1-2006
7--ISO_16750-2-2006_Road_vehicles-Electrical_loads
2021-04-04 18:06:13 411KB ISO_16750-2-2006
ISO_16750-3-2003-Road_vehicles-Mechanical_load
2021-04-04 18:06:13 360KB ISO_16750-3-2003
ISO_16750-4-2003-Road_vehicles-Climatic_loads
2021-04-04 18:06:12 236KB ISO_16750-4-2003
ISO_16750-5-2003-Road_vehicles-Chemical_loads
2021-04-04 18:06:11 157KB ISO_16750-5-2003
SAE_J2464-1999_Electric_Vehicle_Battery_Abuse_Testing_电池滥用试验
2021-04-04 18:06:11 133KB SAE_J2464-1999_E
Fossen 的 guidance and contrl of ocean vehicle 94年的书
2021-04-03 15:53:29 13.6MB guidance and
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