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Hanzhe Dai
School of Automotive Engineering, Chongqing University, Chongqing 400000, Chnia

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Journal article
Published: 25 March 2019 in Electronics
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The popularity of the electric vehicle (EV) brings us many challenges of electromagnetic compatibility (EMC). Automotive manufacturers are obliged to keep their products in compliance with EMC regulations. However, the EV is a complex system composed of various electromagnetic interferences (EMI), sensitive equipment and complicated coupling paths, which pose great challenges to the efficient troubleshooting of EMC problems. This paper presents an electromagnetic topology (EMT) based model and analysis method for vehicle-level EMI prediction, which decomposes an EV into multi-subsystems and transforms electromagnetic coupling paths into network parameters. This way, each part could be modelled separately with different technologies and vehicle-level EMI was able to be predicted by algebra calculations. The effectiveness of the proposed method was validated by comparing predicted vehicle-radiated emissions at low frequency with experimental results, and application to the troubleshooting of emission problems.

ACS Style

Cunxue Wu; Feng Gao; Hanzhe Dai; Zilong Wang. A Topology-Based Approach to Improve Vehicle-Level Electromagnetic Radiation. Electronics 2019, 8, 364 .

AMA Style

Cunxue Wu, Feng Gao, Hanzhe Dai, Zilong Wang. A Topology-Based Approach to Improve Vehicle-Level Electromagnetic Radiation. Electronics. 2019; 8 (3):364.

Chicago/Turabian Style

Cunxue Wu; Feng Gao; Hanzhe Dai; Zilong Wang. 2019. "A Topology-Based Approach to Improve Vehicle-Level Electromagnetic Radiation." Electronics 8, no. 3: 364.

Journal article
Published: 12 February 2019 in Electronics
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The application of wireless communication to platooning brings such challenges as information delay and varieties of interaction topologies. To compensate for the information delay, a state predictor based control strategy is proposed, which transmits the future information of nodes instead of current values. Based on the closed loop dynamics of platoon with state predictor and feedback controller, a decoupling strategy is presented to analysis and design the platoon control system with lower order by adopting the eigenvalue decomposition of topological matrix. A numerical method based on LMI (Linear Matrix Inequality) is provided to find the required robust performance controller. Moreover, the influence of information delay on performance is studied theoretically and it is found that the tolerable maximum delay is determined by the maximum topological eigenvalue. The effectiveness of the proposed strategy is validated by several comparative simulations under various conditions with other methods.

ACS Style

Bao Liu; Feng Gao; Yingdong He; Caimei Wang. Robust Control of Heterogeneous Vehicular Platoon with Non-Ideal Communication. Electronics 2019, 8, 207 .

AMA Style

Bao Liu, Feng Gao, Yingdong He, Caimei Wang. Robust Control of Heterogeneous Vehicular Platoon with Non-Ideal Communication. Electronics. 2019; 8 (2):207.

Chicago/Turabian Style

Bao Liu; Feng Gao; Yingdong He; Caimei Wang. 2019. "Robust Control of Heterogeneous Vehicular Platoon with Non-Ideal Communication." Electronics 8, no. 2: 207.