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For a vehicle hybrid electric (VHE) system powered by the batteries and supercapacitors (SC), a real-time optimal power management (OPM) algorithm is proposed based on the look-ahead route information in consideration of the complex traffic environment. At first, a configuration and modeling of the VHE system is addressed. Then, enlighten by the model predictive control (MPC), multiple route information including the traffic and the road terrain over a look-ahead horizon is utilized to predict the future states, and a cost function to minimize total energy loss of the VHE system is given. On above preliminaries, the dynamic programming (DP) algorithm is applied recursively over the look-ahead horizon to update the optimal power distribution between the battery and SC during the total route. Finally, the simulation results confirm that the computational time of OPM has been reduced significantly although a part of energy efficiency is sacrificed. Moreover, the behavior of OPM is similar to that of a skilful driver and thus appropriate be applied to the practical traffic environment.

In a wide category of embedded systems, sensors, controllers and actuators are located in distant locations. To ensure the control functions, these components need to be interconnected. Usually, communication networks are chosen to support the required communication exchange. In the context of the automotive industry, the Controller Area Network (CAN) bus is yidely used because of its interesting properties. In theory, a CAN network can ensure real-time communications, when no transmission errors are detected. However, an incrpasing numher of applications are sharing this hus, generating jitter and delays on the exchanged messages, which can degrade the performance of control applications. In this paper, the distributed implementation of an active suspension controller is modelled in Simulink thanks to the use of the tool box TRUETIME. The network traffic is generated using the well-known SAE benchmark. Using this simulation model, the control performance of the active suspension system is studied as a function of the available network bandwidth

Since Permanent Magnet Synchronous Motors (PMSM) came in use in industry, major research (Furuhashi, 1992), (Chen et al., 2000), 436 (Misawa, 1987), (Fakham et al., 2004), (Fakham et al., 2005) was done to eliminate sensors that are needed for proper control. Tllis leads the whole system (motor and control) to be cheaper and more robust to noises and other “electrical pollution”. Tltis paper proposes the observability analysis of PMSM as a high order nOlllillear system. Also it presents a design of a sliding mode observer based 011 back EMF which has a good robustness against the variation of electrical parameters of the motor. The effect of the variations of motor parameters such as stator resistance and stator inductance has been studied too. The simulation and experimental results are shown to demonstrate the effectiveness of the approach.