A combinatorial optimisation approach to energy management strategy for a hybrid fuel cell vehicle

Caux, Stéphane; Gaoua, Yacine; López, Pierre

doi:10.1016/j.energy.2017.05.109

Cited by 49 publications

(16 citation statements)

References 22 publications

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“…The optimization for a high system efficiency by an intelligent power split is the primary task of the EMS for FCHEVs [3]. However, respecting the degradation processes of the FCS and ESSs for an increased lifetime [50] and low total cost of ownership (TCO) is crucial for economic competitiveness [6].…”

Section: M E T H O D O L O G I E S F O R E M Smentioning

confidence: 99%

“…Environmental protection is in demand to slow down climate change and stimulates the developments of sustainable technologies, in particular, in the transportation domain [1], [2]. Therefore, a significant trend has been emerging to research into innovative approaches for renewable technologies with a strong interest in electric mobility [3]. Over the last decades, a rising variety of hybrid electric vehicles (HEVs) as a combination of electric drives with internal combustion engines (ICEs), as well as pure BEVs, have become available for individual traffic, satisfying an initial demand for regenerative and locally emission-free mobility [4].…”

Section: Introductionmentioning

confidence: 99%

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Toward Holistic Energy Management Strategies for Fuel Cell Hybrid Electric Vehicles in Heavy-Duty Applications

et al. 2021

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The increasing need to slow down climate change for environmental protection demands further advancements toward regenerative energy and sustainable mobility. While individual mobility applications are assumed to be satisfied with improving battery electric vehicles (BEVs), the growing sector of freight transport and heavy-duty applications requires alternative solutions to meet the requirements of long ranges and high payloads. Fuel cell hybrid electric vehicles (FCHEVs) emerge as a capable technology for high-energy applications. This technology comprises a fuel cell system (FCS) for energy supply combined with buffering energy storages, such as batteries or ultracapacitors. In this article, recent successful developments regarding FCHEVs in various heavyduty applications are presented. Subsequently, an overview of the FCHEV drivetrain, its main components, and different topologies with an emphasis on heavy-duty trucks is given. In order to enable system layout optimization and energy management strategy (EMS) design, functionality and modeling

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Section: M E T H O D O L O G I E S F O R E M Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Toward Holistic Energy Management Strategies for Fuel Cell Hybrid Electric Vehicles in Heavy-Duty Applications

et al. 2021

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“…Ref. [146] proposed an offline optimization strategy for fuel consumption under all constraints of the system (i.e., power demand, power output capability of the fuel cell, and SOC of the ultra-capacitor). Ref.…”

Section: Energy Managementmentioning

confidence: 99%

Challenges and developments of automotive fuel cell hybrid power system and control

Gao

et al. 2019

Sci. China Inf. Sci.

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Fuel cells are emerging as promising power sources and have attracted increasing attention from industries and academics worldwide. In particular, automotive manufacturers are replacing internal combustion engines in vehicles with fuel cell systems, which are advantaged by zero emissions, high efficiency, and various clean routes that generate pure hydrogen. However, current fuel cell systems are costly, and their corresponding infrastructures are not fully qualified to meet current market demand. This paper reviews the challenges and developments of automotive fuel cell hybrid power systems and their controls. It briefly summarizes the model, control, and optimization issue associated with the research and application of fuel cells in hybrid power systems. After presenting the basic knowledge and discussing the trending size and structure of fuel cells for automotive usage, the review describes models of automotive fuel cell systems, focusing on the electrochemical reaction dynamics and the key parameters influencing their efficiency and lifetime. The control problems associated with automotive fuel cell systems as well as the optimization issue associated with hybrid energy systems (comprising fuel cells, batteries, and ultra-capacitors) are elaborately analyzed. The review concludes with current problems and challenges faced by the energy control systems of fuel cell vehicles.

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“…Vehicle energy management strategies (EMSs) have a major effect on vehicle performance, and, thus, have been the focus of extensive research [17]. EMSs of FCVs can be basically divided into rule based strategies and optimal control strategies.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimal Predictive Energy Management for Fuel Cell/Battery Hybrid Construction Vehicles

Liu

Hui

et al. 2020

IEEE Access

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Fuel cell/battery hybrid construction vehicles (FCHCVs) have shown great promise; however, the complex working conditions of construction vehicles pose considerable challenges to the performance and energy management of a fuel cell/battery hybrid system. In this paper, multiobjective optimal model predictive control (MOMPC)-based energy management for FCHCVs is explored. A system model is established that includes an economic model and a lifetime model. In the MOMPC framework, multiobjective optimization is conducted to enhance fuel cell durability and battery lifetime while minimizing costs. Since the energy management problem is a nonlinear problem with hard state constraints, it can be difficult to resolve online. The multiobjective approach employs an adaptive weight-adjustment method based on a fuzzy logic algorithm. An economic evaluation of the FCHCV is conducted over its life cycle with respect to the power source size. Simulation results indicate economic savings and prolonged battery lifetime with the MOMPC-based strategy, compared with conventional benchmarks. INDEX TERMS Model predictive control, multiobjective optimization, energy management, fuel cell, construction vehicle.

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A combinatorial optimisation approach to energy management strategy for a hybrid fuel cell vehicle

Cited by 49 publications

References 22 publications

Toward Holistic Energy Management Strategies for Fuel Cell Hybrid Electric Vehicles in Heavy-Duty Applications

Toward Holistic Energy Management Strategies for Fuel Cell Hybrid Electric Vehicles in Heavy-Duty Applications

Challenges and developments of automotive fuel cell hybrid power system and control

Multiobjective Optimal Predictive Energy Management for Fuel Cell/Battery Hybrid Construction Vehicles

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