On the Positioning Technique for Electric Vehicle Wireless Charging in SAE J2954 Standard

The Society of Automotive Engineers (SAE) J2954 Differential Inductive Positioning System (DIPS) is a ground breaking technology introduced to enable positioning technique for electric vehicle (EV) wireless power transfer (WPT). This technology and its related standard have great potential to bring EV wireless charging to mass production and opens the doors for commercializing autonomous vehicles. Although the DIPS standard has defined the hardware requirements [1], the positioning algorithm design has not been addressed in the literature. In this paper, we introduce the industry's first algorithm for DIPS. We mathematically derive the signal model and parameters estimation algorithm, then evaluate the estimation accuracy of the proposed algorithm using Monte Carlo simulations. The evaluation results have shown the algorithm can achieve centimeter-level accuracy and approach the Cramér-Rao bound.

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Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174454
Primary Topic
IoT-based Smart Home Systems
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article
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article

On the Positioning Technique for Electric Vehicle Wireless Charging in SAE J2954 Standard

Zhiquan Fu, Yue Cao, De Mi, Zhen Gao et al.
IoT-based Smart Home Systems
article

On the Positioning Technique for Electric Vehicle Wireless Charging in SAE J2954 Standard

Zhiquan Fu, Yue Cao, De Mi, Zhen Gao, Bingpeng Zhou, Ziming He, Haoran Meng, Guangyou Yang, Feng Chen, Mehrdad Dianati
article en

Abstract

The Society of Automotive Engineers (SAE) J2954 Differential Inductive Positioning System (DIPS) is a ground breaking technology introduced to enable positioning technique for electric vehicle (EV) wireless power transfer (WPT). This technology and its related standard have great potential to bring EV wireless charging to mass production and opens the doors for commercializing autonomous vehicles. Although the DIPS standard has defined the hardware requirements [1], the positioning algorithm design has not been addressed in the literature. In this paper, we introduce the industry's first algorithm for DIPS. We mathematically derive the signal model and parameters estimation algorithm, then evaluate the estimation accuracy of the proposed algorithm using Monte Carlo simulations. The evaluation results have shown the algorithm can achieve centimeter-level accuracy and approach the Cramér-Rao bound.

Beijing Institute of Technology (CN), Sun Yat-sen University (CN), Wuhan University (CN), Zhejiang Medicine (China) (CN)
Openalex Percentile: Top 73%
IoT-based Smart Home Systems
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On the Positioning Technique for Electric Vehicle Wireless Charging in SAE J2954 Standard — Zhiquan Fu, Yue Cao, et al. · (2025) | TGRS Research Map | TGRS