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In this letter, we present a simple method to extend the feasible rated charging zone of 4-coil coupled wireless charging system (WCS) by optimizing the compensate-capacitors of the coils. With the proposed optimizing method, the tolerant lateral misalignment of our WCS prototype has been extended to 44.3% of the coil size, achieving a 38.3% relative improvement. Electrical Engineering, he had been involved in research on battery management systems, vehicle control and wireless charging systems for electric vehicles. His currently research work is mainly concerned with the development of high power wireless charging system for commercial Electric Vehicles.

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Abstract-There are serious electromagnetic compatibility (EMC) problems in electric vehicles. In order to explain and solve them, a systematic method to analyze conducted interferences of the electric drive system is shown in this paper. This method represents the effects of the power battery which is the most different part between electric drive systems used in electric vehicles and other cases. Also, equivalent models are established from power electronics devices to the entire system by considering both the working mechanism and stray parameters. Firstly, insulated gate bipolar transistor (IGBT) and inverter are studied as the main interference source. A new expression is put forward to estimate the frequency domain features of the inverter disturbances. Then, power battery and electric motor are discussed as the main propagation paths. Their high frequency circuit models are given with parameters obtained from tests and measurements. Finally, the system model is established. The system interferences are analyzed to get their generation causes, influence factors and frequency domain characteristics. Comparisons between simulations and experiments verify the correctness of the models and the method.

SUMMARYFor reliable and safe operation of lithium-ion batteries in electric vehicles, the monitoring of state-of-charge and state-ofhealth is necessary. However, these internal states cannot be measured directly, which are usually estimated through model-based techniques. Therefore, an accurate application-oriented battery model is of significant importance. The purpose of this paper is to present a novel method on battery modeling and parameter identification. In this work, a statespace model with clear mathematical and electrochemical meanings is proposed on the basis of the electrochemical basics of lithium-ion batteries. The frequency-domain characteristics of the lithium-ion batteries are also investigated. On the basis of the frequency analysis, an identification test profile that can excite the dynamic characteristics of the battery fully and persistently is proposed. A subspace-based algorithm is then adopted to identify the parameters of the battery model. The performance and robustness of the estimated model are validated through some experiments and simulations. The validation results show that the proposed method can achieve an acceptable accuracy with the maximum error being less than 2%.