Simulation of a hybrid vehicle powertrain having direct methanol fuel cell system through a semi-theoretical approach

Electric vehicles (EVs) include battery electric vehicles (BEVs), fuel-cell vehicles (FCVs) and fuel-cell hybrid electric vehicles (FCHEVs). The performance of vehicles is usually evaluated using standardized driving cycle tests; however, the results from standardized driving cycle tests deviate from the real-world driving cycle. In order to test the adaptability of EVs to real-world driving cycles, conditions of three typical routes in Tianjin are collected and their characteristics analyzed; then BEV and FCV models are created based on a type of FCHEV to simulate 0–100 km/h acceleration and cruising performance under a real-world driving cycle; finally, a motor bench is used to test the performance of FCHEV under the NEDC (New European Driving Cycle). After the adaptability of the three models to real-world driving cycle is compared based on the simulation and test results, it is found that FCHEV can recycle braking energy and has quick dynamic response, which can be well adapted to the real-world driving cycle.

show abstract

“…where ϕ DC/AC is DC/AC conversion efficiency and ϕ motor mechanical efficiency of drive motor [28,29].…”

Section: Power System Structure Modelmentioning

confidence: 99%

Real-World Driving Cycles Adaptability of Electric Vehicles

Sun

Wen

Zhao

et al. 2020

WEVJ

View full text Add to dashboard Cite

show abstract

“…The anode gas separator 11 also acts as a solution reservoir allowing an intermittent refilling of water from the cathode and, in this way, the operation of the trim control system. Finally, the installation is managed by the corresponding electronic control and management system 28 . This system implements a control algorithm to manage the power plant.…”

Section: Power Plantmentioning

confidence: 99%

Autonomous Underwater Vehicle Powered by Direct Methanol Fuel Cell-Based Power Plants: A Quick Preliminary Design Model

et al. 2020

View full text Add to dashboard Cite

Investigation, conservation, and exploitation of seas require platforms capable of accomplishing a wide variety of missions in harsh environments with restricted human intervention for long periods of time. Autonomous Underwater Vehicles (AUVs) are excellent tools for carrying out these missions due to their versatility and ability to access remote sites. However, despite the improvement of their capabilities, their development is not devoid of challenges. Endurance, among others, such as underwater communications or autonomy, is still a pending subject. Current battery-based solutions do not offer sufficient endurance and innovative power plants with higher energy content are needed. This work studies the advantages, in terms of endurance, of using a power plant based on Direct Methanol Fuel Cells (DMFCs) to power AUVs. In order to accomplish this, a multi-objective optimization tool that makes use of a genetic algorithm was developed. This tool allows quick preliminary design of AUVs with a DMFC-based power plant, complying with a user-defined payload, operation profile, and restrictions. Six designs based on a real AUV model were studied, and endurance values up to 2 times longer than the corresponding reference AUV were obtained. These results support the benefits of using DMFCs to power AUVs to increase their endurance.

show abstract

“…In a galvanic process, the stoichiometry ratio (λ) is defined as the ratio of supplied mass flux to the required mass flux for the reaction. 43 The stoichiometric ratio of the anode (λ a ) is a parameter used to find the total flow rate of the methanol fed to the anode side of the DMFC stack. If a mass balance is applied to the mixing chamber for methanol, the flow rate of pure methanol leaving the methanol tank can be found.…”

Section: Thermodynamic Modeling Of a Dmfc Systemmentioning

confidence: 99%

“…In a galvanic process, the stoichiometry ratio (λ) is defined as the ratio of supplied mass flux to the required mass flux for the reaction . The stoichiometric ratio of the anode ( λ a ) is a parameter used to find the total flow rate of the methanol fed to the anode side of the DMFC stack.…”

Section: Thermodynamic Modeling Of a Dmfc Systemmentioning

confidence: 99%

See 1 more Smart Citation

Semiempirical thermodynamic modeling of a direct methanol fuel cell system

et al. 2019

Self Cite

View full text Add to dashboard Cite

Summary In this study, a thermodynamic model of an active direct methanol fuel cell (DMFC) system, which couples in‐house experimental data for the DMFC with the mass and energy balances for the system components (condenser, mixing vessel, blower, and pumps), is formed. The modeling equations are solved using the Engineering Equation Solver (EES) program. This model gives the mass fluxes and thermodynamic properties of fluids for each state, heat and work transfer between the components and their surroundings, and electrical efficiency of the system. The effect of the methanol concentration (between 0.5 and 1.25 M) and air flow rate (between 20 and 30 mL cm−2 min−1) on the net power output and electrical efficiency of the system and the condenser outlet temperature is investigated. The results essentially showed that the highest value for the electrical efficiency of the system is 23.6% when the current density, methanol concentration, and air flow rate are taken as 0.2 A cm−2, 0.75 M, and 20 mL cm−2 min−1, respectively. In addition, the air flow rate was found to be the most significant parameter affecting the condenser outlet temperature.

show abstract

Simulation of a hybrid vehicle powertrain having direct methanol fuel cell system through a semi-theoretical approach

Cited by 24 publications

References 38 publications

Real-World Driving Cycles Adaptability of Electric Vehicles

Real-World Driving Cycles Adaptability of Electric Vehicles

Autonomous Underwater Vehicle Powered by Direct Methanol Fuel Cell-Based Power Plants: A Quick Preliminary Design Model

Semiempirical thermodynamic modeling of a direct methanol fuel cell system

Contact Info

Product

Resources

About