The study deals with the characteristics of smart charging of electric vehicles. The study begins with the introduction of the engineering philosophy of electric vehicle system. Then the identification of key players in electric vehicles system and their different demands, namely perspectives from automakers, electricity providers, vehicle owners and charging service providers. The key is the integration of information flow and energy flow to stimulate synergy and achieving win–win ecosystem. The information should be able to provide integration and intelligence layer between grid and vehicles; to create smart charging schedules based on vehicle data, grid data and driver's desire; and to develop dynamic charging schedule based on updated demand side or grid side inputs. In summary, sustainable electro-mobility requires sustainable power system and electrification of transportation with the aid of intelligent information system.

AC traction networks have inherently adverse impacts on the power supply grids which mainly consist of large negative sequence current, undesirable harmonics and low power factor. To compensate all of these power quality problems, a power quality conditioner called railway power conditioner (RPC) is proposed and discussed. However, the RPC power rating is considerably dependent on the traction load conditions, and it has also some influential effects on the initial costs. In this study, the RPC power rating is thoroughly analysed, and a reducing method is proposed based on thyristor switched capacitor in order to keep the power rating under the optimal value in different traction load conditions. Finally, a precise simulation study is done using MATLAB/SIMULINK program to verify the effectiveness of the proposed strategy.

A system-level behavioural modelling technique is described for a switched reluctance motor drive. The model enables simple and efficient analysis or simulation of multiple drive systems such as pumps, actuators and engine starters within a more-electric network, for example, on-board an aircraft. The behavioural model is based on a power balance analysis. The transfer functions in the model are parameterised from experimental tests on the drive system, resulting in a simple model that only reproduces the average behaviour of the input–output variables necessary for system-level analysis. No data from the manufacturer is required to develop the model. The technique is discussed and validated using an engine starter in an aircraft test facility.

Novel high power density integrated electro-hydraulic machine for electrical hybrid working vehicles is presented. The machine is dedicated to be used as a mechanical power source for hydraulic actuators with possibility of electrical energy recuperation. Advantages of using such a machine in mobile environments are discussed. The efficiency of the device is studied and compared with the traditional valve controlled systems.

This study presents an energy efficient and speed-sensorless control scheme for electric vehicle induction motors (IMs). The IM drive is designed to feature characteristics such as fast dynamic response, high efficiency and low cost. Hybrid field orientation control (FOC) and direct torque control (DTC) is employed as the main control method of IM drive. This method enjoys the advantages of both FOC and DTC and eliminates certain disadvantages. A field weakening algorithm is developed and utilised within the control strategy to ensure robust operation at high speeds. The cost is lowered by eliminating the speed encoder and estimating the speed using an extended Kalman filter observer. Furthermore, a loss minimisation algorithm is associated with the main control strategy to ensure high IM drive efficiency. The effectiveness of the proposed method is verified through simulation and experimental results.