Automation of PID Calibration for Close Loop Control System in an Electric Vehicle to Achieve Objective Driveability Performance

This paper introduces a novel approach to automate PID calibration for closed-loop control systems and the creep control function in an electric vehicle. Through a comprehensive literature survey, it is found that this method is the first of its kind to be applied in the field of automated electric vehicle calibration for Creep function. The proposed approach utilizes a systematic methodology that automatically tunes the PID parameters based on predefined performance criteria, including energy consumption and jerk. To implement this methodology, the ETAS INCA FLOW software, which provides guided calibration methods for in-vehicle testing & calibration, is employed. The calibration process is performed on a real-time electric vehicle platform to validate the effectiveness of the proposed approach. The results of this study showcases the advantages of automated PID calibration for closed-loop control systems and creep control function in small commercial electric vehicle. The proposed calibration methodology shows 45% reduction in calibration time and effort compared to traditional methods, all while ensuring the desired objective driveability performance irrespective of engineer’s expertise in calibration domain. Also it provides consistent results and automated test report with increased test accuracy. Engineers of varying calibration experience levels can benefit from this approach. Experienced engineers can save up to 25% of their time in testing and calibration, while new engineers can enjoy an impressive 45% reduction, giving them an advantage in their work. Overall, the proposed approach presents a unique and innovative solution for improving the calibration process in Small Commercial Electric Vehicles. This methodology enable more precise PID calibration for close loop control systems with objective vehicle performance, significant time reduction, consistent results irrespective of calibration expertise.