Modelling and heuristic control of a parallel hybrid electric vehicle

• DOI: 10.1177/0954407014565633
• Publication Date: 2015-01-20T01:56:50Z
• Authors: Wisdom Enang; Chris Bannister; Chris Brace; Chris Vagg
• Keywords: Powertrain; Heuristics; Driving range; Regenerative brake; State of charge; Driving cycle

Hybrid electric vehicles offer the potential for fuel consumption improvements when compared with conventional vehicle powertrains. The benefits which can be realised utilising hybrid architecture are dependent on how much braking energy is regenerated, and well regenerated utilised. A number of power management strategies have been proposed in literature. Owing to prospect real-time implementation, many these proposals centred use heuristics. Despite research advances made, key challenge heuristic remains achieving reasonable savings without over-depleting battery’s state charge at end trip. In view this challenge, paper offers two main contributions existing first a novel, simple but effective control strategy employs tuneable parameter (the percentage maximum motor tractive power) decide sequence, such that impressive achieved final battery energy). second quantitative exploration patterns its impact kinetic regeneration. was explored over range driving cycles reflect different scenarios. results from analysis show as 19.07% Japan 10–15 cycle. comparison suboptimal controller whose signals were derived dynamic programming optimal control, our found outperforming, it penalty battery. Gentle also significantly improve brake regeneration by motor.