Energy Management Strategy Development to Minimize the Operating Costs for a Fuel Cell Vehicle

Davis, Kevin; Hayes, John G.

doi:10.1109/vppc.2017.8330990

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…The newly developed EMS for this vehicle, EMS‐1, is shown in Fig. 6 and is a simplified version of the three previous EMS proposed by Davis and Hayes [47]. The simple regenerative braking elements of the strategy (rules 5 and 6) are not shown in Fig.…”

Section: Results For New Optimised Challenge Emsmentioning

confidence: 99%

Fuel cell vehicle energy management strategy based on the cost of ownership

Davis

Hayes

2019

IET Electrical Systems in Transportation

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This study presents a novel energy management strategy (EMS) which outperforms the published strategies developed for an international technology challenge, IEEE Vehicular Technology Society (VTS) Motor Vehicles Challenge 2017. The objective of the strategy is to minimise the cost of ownership of a low-power (15 kW) fuel cell (FC)-battery electric vehicle. Both the fuel consumption cost and power sources degradation costs are combined to represent the total cost of ownership. The simple adaptive rule-based strategy optimises the FC operation during low-traction power operation and switches to battery charge-sustaining operation for high traction power operation. This minimises fuel consumption and increases the lifetimes of the FC and of the battery. The strategy is then compared with the EMS of the 2015 Toyota Mirai, and the challenge vehicle model is modified to capture the learnings from the Mirai. Finally, a cost-benefit analysis for a plug-in FC vehicle is considered in order to improve FC lifetimes and to reduce costs for short drive cycles.

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Section: Results For New Optimised Challenge Emsmentioning

confidence: 99%

Fuel cell vehicle energy management strategy based on the cost of ownership

Davis

Hayes

2019

IET Electrical Systems in Transportation

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“…The best strategy maintains the battery SoC at it maximal value while the FC operates at its maximal efficiency and lower degradation operating [15]. [16] and [17] (4 th and 5 th positions) use similar concepts to build their EMSs but they do not reach such good results because they neglect the battery SoC effect on the battery degradation. The second best strategy extracts comprehensive rules from optimized results of twelve typical driving cycles [18].…”

Section: Resultsmentioning

confidence: 99%

Energy Management in Fuel-Cell\/Battery Vehicles: Key Issues Identified in the IEEE Vehicular Technology Society Motor Vehicle Challenge 2017

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Jemeï

Boulon³

et al. 2018

IEEE Veh. Technol. Mag.

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In October 2016, an international challenge devoted to the energy management of a fuel cell/battery vehicle was launched during the 2016 IEEE Vehicle Power and Propulsion Conference (VPPC), in Hangzhou, China. The vehicle driving cost, which includes the hydrogen and the source degradation costs, was used as a base of comparison. Following the success of this first initiative, this paper analyses the best participant energy managements. It appeared that well designed Energy Management Strategies (EMS) lead to reduce significantly the trip cost while ill-designed EMS may lead to high fuel consumption or premature source degradations. Tight deadlines have deliberately limited the development times, but the best results are close to the theoretical dynamic programming optimum. Knowing in advance the mission profile also does not appears so important because the best developed strategies have quite similar results than for the dynamic programing optimal strategy.

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Energy Management Strategy Development to Minimize the Operating Costs for a Fuel Cell Vehicle

Cited by 2 publications

References 8 publications

Fuel cell vehicle energy management strategy based on the cost of ownership

Fuel cell vehicle energy management strategy based on the cost of ownership

Energy Management in Fuel-Cell\/Battery Vehicles: Key Issues Identified in the IEEE Vehicular Technology Society Motor Vehicle Challenge 2017

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