Modelling and control of hybrid electric vehicles (A comprehensive review)

Wisdom Enang and Chris Bannister

Renewable and Sustainable Energy Reviews, 2017, vol. 74, issue C, 1210-1239

Abstract: The gradual decline in global oil reserves and presence of ever so stringent emissions rules around the world, have created an urgent need for the production of automobiles with improved fuel economy. HEVs (hybrid electric vehicles) have proved a viable option to guaranteeing improved fuel economy and reduced emissions. The fuel consumption benefits which can be realised when utilising HEV architecture are dependent on how much braking energy is regenerated, and how well the regenerated energy is utilised. The challenge in developing an HEV control strategy lies in the satisfaction of often conflicting control constraints involving fuel consumption, emissions and driveability, without over-depleting the battery state of charge at the end of the defined driving cycle.

Keywords: Heuristic control; Hybrid electric vehicle; Regenerative braking; Optimisation of brake energy recovery; Dynamic programming; Optimal control; HEV control; Vehicle modelling; Parallel HEV; ECMS; Model predictive control; GPS (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (41)

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DOI: 10.1016/j.rser.2017.01.075

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