Potential analysis of a predictive energy management strategy designed to increase the efficiency of the powertrain in a hybrid vehicle with use of online available route information

Hybrid vehicles, with their combined use of internal combustion engines and electric motors, present a unique opportunity to leverage intelligent control strategies for optimal performance. The method presented in this paper aims to improve the efficiency of a hybrid powertrain through an increased usage of the advantages of the electric components. While conventional hybrid operation strategies must determine the torque-split on either rule-based decision logics or on strategies that are optimized for certain test scenarios a predictive strategy can optimize the torque-split under consideration of the upcoming load requirements. Therefore, this paper explores the development and implementation of real-time predictive driving and operating strategies for hybrid vehicles to enhance fuel efficiency and reduce environmental impact. The data pertaining to road networks and traffic conditions, currently accessible from numerous map providers, can be effectively utilized to further amplify the benefits offered by hybrid vehicles. These information’s will be used to improve the accuracy of the predicted driving situations, and this subsequently improves the effectiveness of the predictive hybrid strategy by increasing the accuracy of the predicted load requirements. Advancements in prediction model accuracy have been shown to enhance the effectiveness of predictive hybrid control strategies, leading to higher energy efficiency and lower emissions. The underlying studies will focus on further enhancing the prediction models and undertaking empirical testing to ascertain their efficiency. Future research will aim to refine these models further and conduct real-world testing to validate their effectiveness. The enhanced predictive strategy achieves a consumption reduction of up to 12.18%, approaching 14.4% reduction obtained under perfect prediction, while significantly reducing engine state transitions from 110 to 30, thereby improving both efficiency and driving comfort.