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March 18, 2026World Electric Vehicle JournalOpen Access

A LumiPINN Prediction Model for Electric Vehicle Headlamp Illuminance Using Standardised Guidelines to Enhance Driving Safety

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Authors

LSLei ShiJWJing WangTSTong Su

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Overview

Demonstrates a LumiPINN model enhances headlamp illuminance prediction accuracy, suggesting improved driving safety.

Key Points

  • The aim is to improve the accuracy of electric vehicle headlamp illuminance predictions to enhance driving safety.
  • Developed the LumiPINN prediction model using standardized test conditions in a laboratory.
  • Collected and pre-processed data to eliminate external disturbances.
  • Implemented a physical model as a constraint in the loss function for optimization.
  • LumiPINN reduced Mean Absolute Error by 60.2% compared to traditional models.
  • Mean Square Error and Root Mean Square Error were reduced by 83.6% and 59.6%, respectively.
  • The Coefficient of Determination improved markedly, indicating increased prediction accuracy.

Cite This Study

Shi et al. (2026) studied this question.

synapsesocial.com/papers/69ba429c4e9516ffd37a3138https://doi.org/10.3390/wevj17030146
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