Abstract
The design of an energy management strategy is critical to improving the fuel efficiency of a vehicle system with an alternative powertrain system, such as hybrid electric vehicles or fuel cell electric vehicles. In particular, in fuel cell electric vehicles, the energy management strategy should consider system degradation and fuel savings because the hardware cost of the fuel cell system is much higher than that of a conventional powertrain system. In this paper, an easily implantable near-optimal energy management controller is proposed. The proposed controller distributes power generation between the fuel cell and the battery to simultaneously minimize system degradation and fuel usage. The controller is designed to consider the degradation cost and fuel cost in the framework of the equivalent consumption minimization strategy concept. The proposed controller was validated with a fuel cell electric vehicle model in MATLAB/Simulink (MathWorks, Natick, MA, USA). The proposed control strategy showed significant overall cost reduction compared to a thermostat control strategy and a conventional Equivalent Consumption Minimization Strategy (ECMS) strategy.
Highlights
In all industries, including the power and automobile industry, both the government and private companies strive to develop innovative technologies for new alternative energy and powertrain systems
The degradation of Equivalent a fuel cell and battery isMinimization regarded as aStrategy major problem for hybrid vehicles; most existing energy management strategies only focus on econdegradation of a fuel cell andConsumption battery is regarded as a major problem forfuel hybrid
D-Equivalent Consumption Minimization Strategy (ECMS), which minimizes both fuel consumption and vehicles; most existing energy management strategies only focus on fuel econThe degradation of a fuel cell and battery is regarded as a major problem for hybrid degradation simultaneously
Summary
In all industries, including the power and automobile industry, both the government and private companies strive to develop innovative technologies for new alternative energy and powertrain systems. EMS of a fuel cell/battery hybrid vehicle was investigated based on the target value of the battery SOC to optimize the energy efficiency and extend the lifetime of the system [12]; these controllers could not address the optimal performance due to the design methodologies, such as control parameter tuning based on heuristics and intuition. In order to optimize the vehicle’s electrical system, which is composed of a battery and alternator, ECMS was applied and compared to a rule-based control strategy (voltage regulation) [17]. ECMS can reduce fuel consumption by up to 8.5% compared to rule-based control, which considers engine operating conditions based on different SOCs and required torque output [20].
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
