Wireless Power Transfer

In the recent years, the wireless power transfer technique has attracted a lot of attention in research. As a result, it is becoming an increasingly popular technology in consumer electronic devices and electric vehicles. However, there are other methods in which energy could be transmitted, and they could be further classified according to their working ranges, namely the near-field and the far-field transmission. In this chapter, an overview on the principles of different types of wireless power transmission is described. Then, the investigation of the receiver block is discussed through studying the features of rectifier technologies. Later, the book continues to describe the Rectenna system (rectifying antenna) adopted to the Internet of Things (IoT) wireless charge in remote locations.

Wireless Power Transfer Technologies Applied to Electric Vehicles: A Review

The expansion on the use of Electric Vehicles demands new mechanisms to ease the charging process, making it autonomous and with a reduced user intervention. This paper reviews the technologies applied to the wireless charge of Electric Vehicles. In particular, it focuses on the technologies based on the induction principle, the capacitive-based techniques, those that use radiofrequency waves and the laser powering. As described, the convenience of each technique depends on the requirements imposed on the wireless power transfer. Specifically, we can state that the power level, the distance between the power source and the electric vehicle or whether the transfer is executed with the vehicle on the move or not or the cost are critical parameters that need to be taken into account to decide which technology to use. In addition, each technique requires some complementary electronics. This paper reviews the main components that are incorporated into these systems and it provides a review of their most relevant configurations.

A Real-Time Vehicle Exhaust Gas Monitoring Enabled Optimization Approach for Air Pollution Control

This research described in the paper proposed a device combining wireless sensor technique, GPS and wireless charge technique. This device can be installed nearby the vehicle tailpipe and transmit measurement data of exhaust gas to the backend system in real-time. It facilitates knowledge of exhaust gas the vehicle generated on the route it passed. With this information, a reference system is developed to estimate gas pollution that will be generated by the vehicle on each route. An artificial intelligent method, case-based reasoning is applied in the system design. Meanwhile, a new mathematical model can be built with additional consideration for gas pollution in route planning and optimization of vehicles. Some optimization approaches, including genetic algorithm, and some other combination algorithm can be applied to get solution of this model with new additional constraints.