Abstract

Wireless Power Transfer (WPT) is a key enabling technology towards the transportation electrification, able to overcome some limits of the plug-in charging of the Electric Vehicle (EV). In this frame, a special attention is paid to the dynamic WPT systems, where the EV is recharged during motion. This paper presents a model and a resultant method for the system level design of a series-series WPT Dynamic Battery Charger (WPT-DBC) for EVs. The model allows analyzing the joined influence of coil pair characteristics and power converter stages controls on the global performances of WPT-DBCs. The design method provides general guidelines for system level optimization, matching the characteristics of the power and control elements of a series-series WPT-DBC, to achieve the desired efficiency, receiver power loss and battery charge.

Highlights

  • The development of Wireless Power Transfer Dynamic Battery Chargers (WPT-DBC) for Electric Vehicles (EVs) has approached a quite good technological maturity level [1][2]

  • The coil pair characteristics, the compensation topology, the power conversion stages architecture and relevant controls, and the vehicle trajectory and speed determine the overall performances of a WPT charger

  • We aim to achieve the system-level optimization of a WPT-DBC based on the optimal matching of coil pair mutual coupling profile and power conversion control setup

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Summary

INTRODUCTION

The development of Wireless Power Transfer Dynamic Battery Chargers (WPT-DBC) for Electric Vehicles (EVs) has approached a quite good technological maturity level [1][2]. The coil pair characteristics, the compensation topology, the power conversion stages architecture and relevant controls, and the vehicle trajectory and speed determine the overall performances of a WPT charger. Coil design constraints involve minimum efficiency requirements, safety issues relevant to the limitation of the leakage magnetic field, misalignment performance, cost, volume and weight. The magnetic coupling profile along the vehicle trajectory must be considered to achieve optimal performances This is the real core of the WPT-DBC modeling and design discussed in this paper. We aim to achieve the system-level optimization of a WPT-DBC based on the optimal matching of coil pair mutual coupling profile and power conversion control setup. The results of PSIM simulations confirm the theoretical model predictions

WPT-DBC ANALYSIS
INVERTER AND POST-REGULATOR OPTIMIZATION
MUTUAL INDUCTANCE OPTIMIZATION
OVERALL SYSTEM OPTIMIZATION
SYSTEM ANALYSIS
SYSTEM DESIGN
Findings
CONCLUSION
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