Modeling, simulation and energy optimization of a hybrid fuel cell/ultra-capacitor regenerative electric vehicle

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Modeling, simulation and energy optimization of a hybrid fuel cell/ultra-capacitor regenerative electric vehicle

 

Author: Wang, Yiyun
Title: Modeling, simulation and energy optimization of a hybrid fuel cell/ultra-capacitor regenerative electric vehicle
Degree: M.Sc.
Year: 2013
Subject: Electric vehicles -- Fuel systems.
Hybrid electric vehicles -- Fuel systems.
Hong Kong Polytechnic University -- Dissertations
Department: Dept. of Mechanical Engineering
Pages: xxii, 132 leaves : ill. (some col.) ; 30 cm.
InnoPac Record: http://library.polyu.edu.hk/record=b2576820
URI: http://theses.lib.polyu.edu.hk/handle/200/6908
Abstract: The fuel economy is one of the important issues in modern vehicles, not only for gasoline vehicles, but also for hybrid electric vehicles (HEV). How to use the onboard energy in an efficient way is always the main concern. In HEVs, the energy sources can vary from fuel cell, battery to ultra-capacitor. Due to the limitation of the energy on board, the stored energy must be used in an efficient way to meet the drive demand. As a result, the energy storage system (ESS) technology can have a direct influence on HEVs. An advanced ESS can split the power flow in a more efficient way and regenerate the energy when braking. In this thesis, the research focuses on fuel cell/ultra-capacitor hybrid electric vehicle. A fuzzy logic controller (FLC) will be presented. By using FLC, not only the power flow between different components can be properly managed, but also a Drive Mode Switch (DMS) has been integrated which can manage the hydrogen flow supplied to the fuel cell. The FLC based ESS can help the vehicle to meet the power demand, and at the same time reduce the hydrogen consumption can be reduced. In order to study the applicability of the FLC based ESS, the vehicle model is simulated under two different drive cycles: one is Urban Dynamometer Driving Schedule (UDDS) drive cycle in the US, the other one is New European drive cycle in Europe. A comparison is presented between ESS with DMS and without DMS under these two drive cycles. The simulation study shows that the co-simulation (Simulink and AVL Cruise) method is able to estimate the hybrid electric vehicle overall performance, including power flow, torque, efficiency, fuel consumption, speed error, etc. Under the control of FLC based ESS, the hybrid Golf can meet the power demand in different drive cycle and the speed error between the actual speed and the target speed is acceptable. In addition, the fuel (hydrogen) consumption of fuel cell is better (lower) after DMS is integrated into the ESS control system.

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