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This paper proposes a successive approximation algorithm (SAA) for intelligent vehicle speed adaption (IVSA) based on energy dissipation. As vehicle dynamical system resembles a series of mass/spring/damper systems that are dissipative, i.e., the energy of the system decays to zero eventually, the problem of IVSA is transformed into dissipative control design based on energy storage function. In order...
Plug-in Electric Vehicles (PEVs) are attracting much attention in Demand-side management (DSM) for the function of shifting loads from peak hours and discharging to the smart grid. In this paper, energy consumption scheduling of residential users with PEVs is proposed with incomplete information. In our proposed scenario, PEVs can be employed as vehicles or storage device which can discharge to the...
Energy sources and storage devices of (H)EV powertrain are usually designed for the maximum ratings of the drivability conditions (cruise speed, gradeability and acceleration). This leads to a costly solution because the components are oversized. This paper develops a methodology based on the combination of the standard driving cycles to optimize the sizing of the devices. It's applied to the design...
This paper develops a methodology to optimize the sizing of the power components in a fuel cell electric vehicle from the driving cycle and the specified acceleration performance. The fuel cell and the energy storage system associated (battery or/and ultra capacitor) design parameters are the numbers of series and parallel branches respectively Nsi and Npi. They are set so as to minimize an objective...
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