Real-time energy optimization of HEVs under-connected environment: a benchmark problem and receding horizon-based solution

In this paper,we propose a benchmark problem for the challengers aiming to energy efficiency control of hybrid electric vehicles(HEVs)on a road with slope.Moreover,it is assumed that the targeted HEVs are in the connected environment with the obtainment of real-time information of vehicle-to-everything(V2X),including geographic information,vehicle-to-infrastructure(V2I)information and vehicle-to-vehicle(V2V)information.The provided simulator consists of an industrial-level HEV model and a traffic scenario database obtained through a commercial traffic simulator,where the running route is generated based on real-world data with slope and intersection position.The benchmark problem to be solved is the HEVs powertrain control using traffic information to fulfill fuel economy improvement while satisfying the constraints of driving safety and travel time.To show the HEV powertrain characteristics,a case study is given with the speed planning and energy management strategy.

Optimal heat release shaping in a reactivity controlled compression ignition （RCCI） engine

The present paper addresses the optimal heat release （HR） law in a single cylinder engine operated under reactivity controlled compression ignition （RCCl） combustion mode to minimise the indicated specific fuel consumption （ISFC） subject to different constraints including pressure related limits （maximum cylinder pressure and maximum cylinder pressure gradient）. With this aim, a 0-dimensional （OD） engine combustion model has been identified with experimental data. Then, the optimal control problem of minimising the ISFC of the engine at different operating conditions of the engine operating map has been stated and analytically solved. To evaluate the method viability a data-driven model is developed to obtain the control actions （gasoline fraction） leading to the calculated optimal HR, more precisely to the optimal ratio between premixed and diffusive combustion. The experimental results obtained with such controls and the differences with the optimal HR are finally explained and discussed.

Special issue on on-board optimization strategy design methods for connected hybrid electric vehicles

As a trend in the innovation of automotive engineering,connectivity provides new opportunities and challenging issues for vehicular powertrain control due to big potential in the use of the connected information for improving energy efficiency and reducing CO_(2) emission.In real world driving situation,a bottleneck for achieving optimal energy efficiency via control of the power sources in the powertrain is the uncertainty in power demand,since the power demand is delivered by the driver according to the driving environment which is always with stochasticity and un-detectable event in the environment.The connectivity enables us to predict the power demand in advance by using the real-time information of vehicle-to-vehicle,vehicle-to-infrastructure.