Modelling and heuristic control of a parallel hybrid electric vehicle

SIGNIFICANCE STATEMENT

Hybrid electric vehicles (HEVs) offer the potential for fuel consumption improvements when compared to conventional vehicle powertrains. The fuel consumption benefits which can be realised when utilising Hybrid electric vehicles architecture are dependent on how much braking energy is regenerated, and how well the regenerated energy is utilized.

A number of power management strategies have been proposed in literature. Owing to the prospect of real time implementation, much of these proposals have centred on the use of heuristics. Despite the research advances made, the key challenge with heuristic strategies remain achieving reasonable fuel savings without over depleting the battery state of charge at the end of the trip.

In view of this challenge, this paper offers 2 main contributions to existing energy management literature. The first is a novel, simple but effective heuristic control strategy which employs a tuneable parameter (percentage of maximum motor tractive power) to decide the control sequence, such that impressive fuel savings are achieved without over depleting the final battery state of charge (battery energy). The second is the quantitative exploration of braking patterns and its impact on kinetic energy regeneration.

The potential of the proposed heuristic control strategy was explored over a range of drive cycles which reflect different driving scenarios. Results from this analysis show, that as much as 19.07% fuel savings could be achieved over the JAPAN1015 drive cycle. In comparison to a suboptimal controller whose control signals were derived from dynamic programming optimal control, our proposed strategy was found to be outperforming, in that it achieved impressive real time fuel savings without much penalty to the final battery state of charge. Gentle braking patterns were also found to significantly improve brake energy regeneration by the electric motor.

 

 

Modelling and heuristic control of a parallel hybrid electric vehicle fig-1 Advances in Engineering

 

 

 

 

 

 

 

Modelling and heuristic control of a parallel hybrid electric vehicle Figure 2 Advances in Engineering

 

 

 

Modelling and heuristic control of a parallel hybrid electric vehicle Figure 8 Advnaces in Engineering

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Figures credit: Journal of Automobile Engineering.

 

Journal Reference

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering September 2015 vol. 229 no. 11 1494-1513

Wisdom Enang, Chris Bannister, Chris Brace, Chris Vagg

Abstract

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

Go To Proceedings of the Institution of Mechanical Engineers

Corresponding Author: 

Dr. Wisdom Enang,

Powertrain and Vehicle Research Centre, Department of Mechanical Engineering, University of Bath, UK.

Email: [email protected], [email protected]

Dr. Wisdom Enang

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