Introducing predictive Best-Mode controller for minimizing hybrid electric vehicle fuel consumption

Abstract

In this paper, a real-time predictive control strategy is developed to control the energy consumption of hybrid electric vehicles with lower sensitivity to prediction accuracy. A predictive Best-Mode concept is introduced based on the future speed predictions, by which the trend of battery state of charge is estimated. The estimated battery state of charge is used to better management of the battery charge mode. The optimum work zones of the components are then selected according to the best battery charging mode and the vehicle speed and power demand. This controller is less sensitive to the prediction accuracy and enables the system to work at the near-optimal points. The results show that the predictive Best-Mode controller is capable of minimizing the energy consumption in real-time applications, very close to the results of the offline dynamic programming with a 2% error margin. The predictive Best-Mode strategy's performance is better than the finite-horizon dynamic programming, except for accurate prediction with a longer than 20-sec prediction horizon.

A Modern Simple Power Prediction Index for Improving Battery Life

“…e equivalent consumption minimization strategy (ECMS) minimizes the fuel consumption of the FC by handling its power and keeping battery SOC in a certain range [27,37]. In this strategy, SC provides the remaining power demand and engages at peak powers, although it is not completely controllable.…”

Improvised energy management control through neuro-fuzzy based adaptive ECMS approach for an optimal battery utilization in non-plugin parallel hybrid electric vehicle

“…Thus, the study of energy management topology plays a vital role in enhancing fuel efficiency and reducing the emission characteristics of multiple energy sources by optimally distributing the demanded power of the whole hybrid electric vehicles (HEVs). 5 The current focus is to take a firm plan for establishing an efficient charge-sustaining energy management strategy for non-plugin hybrid diesel engine-electric vehicles. The specific reason for selecting the self-charging HEVs configuration is that it requires lower battery capacity leads to less expensive and doesn't require more time and planning for recharging.…”