TY - GEN
T1 - Optimized Design of Electric Field Sensor Arrays for Engine Exhaust Charge Detection
AU - Xu, Hai
AU - Zhang, Yihui
AU - Yuan, Haiwen
AU - Wang, Linjie
AU - Lv, Jianxun
AU - Gao, Lei
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - To meet the requirements for detecting charged particles in engine exhaust, this paper proposes an optimized layout design method for electric field sensor arrays based on finite element analysis. The influence of array geometry is investigated by comparing cylindrical and flared structures, and a coupled thermal-electric field simulation is conducted to evaluate sensitivity performance. The flared configuration demonstrates superior sensitivity. Furthermore, based on Gauss's theorem and electric flux integration, optimal array parameters are determined, including a minimum radius of 0.5 m and an extended length to maximize the side surface contribution. A multi-plane cooperative monitoring strategy is introduced, and the configuration with six monitoring layers achieves the best performance, with a measurement error of 8.55%. The proposed design significantly improves charge measurement accuracy, enhances real-time monitoring capabilities, and provides a practical and reliable approach for engine exhaust diagnostics.
AB - To meet the requirements for detecting charged particles in engine exhaust, this paper proposes an optimized layout design method for electric field sensor arrays based on finite element analysis. The influence of array geometry is investigated by comparing cylindrical and flared structures, and a coupled thermal-electric field simulation is conducted to evaluate sensitivity performance. The flared configuration demonstrates superior sensitivity. Furthermore, based on Gauss's theorem and electric flux integration, optimal array parameters are determined, including a minimum radius of 0.5 m and an extended length to maximize the side surface contribution. A multi-plane cooperative monitoring strategy is introduced, and the configuration with six monitoring layers achieves the best performance, with a measurement error of 8.55%. The proposed design significantly improves charge measurement accuracy, enhances real-time monitoring capabilities, and provides a practical and reliable approach for engine exhaust diagnostics.
KW - Gauss's theorem
KW - electric field sensing
KW - exhaust gas detection
KW - sensor arrays
UR - https://www.scopus.com/pages/publications/105018057792
U2 - 10.1109/ICIEA65512.2025.11149184
DO - 10.1109/ICIEA65512.2025.11149184
M3 - 会议稿件
AN - SCOPUS:105018057792
T3 - 2025 IEEE 20th Conference on Industrial Electronics and Applications, ICIEA 2025
BT - 2025 IEEE 20th Conference on Industrial Electronics and Applications, ICIEA 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE Conference on Industrial Electronics and Applications, ICIEA 2025
Y2 - 3 August 2025 through 6 August 2025
ER -