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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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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%.