IEEE VTS Motor Vehicles Challenge 2017 - Energy Management of a Fuel Cell/Battery Vehicle

Dépature, Clément; Jemeï, Samir; Boulon, Loïc; Bouscayrol, Alain; Marx, Neigel; Morando, Simon; Castaings, Ali

doi:10.1109/vppc.2016.7791701

Cited by 61 publications

(53 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This current profile has been created by means of UDDS driving profile which represents the city driving condition. To do so, the UDDS driving profile has been used as the input of IEEE VTS Motor Vehicles Challenge , and the resulting requested current from the PEMFC has been scaled within the operating range of the presented PEMFCs in the test bench. Since this current profile comes from a driving cycle, it can imitate a real situation that may happen to a used fuel cell system in a vehicle.…”

Section: Resultsmentioning

confidence: 99%

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

et al. 2018

View full text Add to dashboard Cite

Output power of a fuel cell (FC) stack can be controlled through operating parameters (current, temperature, etc.) and is impacted by ageing and degradation. However, designing a complete FC model which includes the whole physical phenomena is very difficult owing to its multivariate nature. Hence, online identification of a FC model, which serves as a basis for global energy management of a fuel cell vehicle (FCV), is considerably important. In this paper, two well‐known recursive algorithms are compared for online estimation of a multi‐input semi‐empirical FC model parameters. In this respect, firstly, a semi‐empirical FC model is selected to reach a satisfactory compromise between computational time and physical meaning. Subsequently, the algorithms are explained and implemented to identify the parameters of the model. Finally, experimental results achieved by the algorithms are discussed and their robustness is investigated. The ultimate results of this experimental study indicate that the employed algorithms are highly applicable in coping with the problem of FC output power alteration, due to the uncertainties caused by degradation and operation condition variations, and these results can be utilized for designing a global energy management strategy in a FCV.

show abstract

Section: Resultsmentioning

confidence: 99%

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Based on and , the load current can be estimated as follows:

i_{L} false(t + normalΔ t false) = ((), 1 {+ ℒ}^{- 1} ((), \frac{s normalΔ t}{τ_{1} τ_{2} s^{2} + false(τ_{1} + τ_{2} false) s + 1})) i_{L} false(t false)

where

ℒ^{- 1}

is Laplace inverse transformation operator. The data of the load current is from . Figure shows the estimation result of the load current.…”

Section: Optimal Energy Managementmentioning

confidence: 99%

Real‐time optimal energy management for a fuel cell/battery hybrid system

Chen

Liu

et al. 2019

Asian Journal of Control

View full text Add to dashboard Cite

An energy management strategy is proposed for a class of fuel cell∕battery hybrid systems. In such hybrid systems, a fuel cell system is the main power source, and a lithium-ion battery is the auxiliary power source. In order to manage the system power at the next moment in a reasonable way, a load current filter with bounded estimation errors is designed to estimate the load current.Then, a real-time optimal energy management algorithm is proposed to optimize economy consumption of the hybrid system. By taking current change rate of the fuel cell and the state of charge into consideration and taking reasonable model simplifications, the optimization problem can be described as a quadratic programming problem. Then a general purpose solver is proposed to solve the quadratic programming problem based on the alternating direction method of multipliers. The efficiency of the proposed solver is much faster than computing interior point method or active set method. Simulation results in MATLAB/SIMULINK are carried out to validate the significant effectiveness and efficiency of the proposed management strategy.

show abstract

“…The simulation of this work is executed based on the vehicle introduced in [1], which is a commercial Tazzari Zero electric vehicle with a modification in its energy storage system. The control scheme and the detailed characteristics of the vehicle are presented in Fig.…”

Section: A Studied Vehicle Characteristicsmentioning

confidence: 99%

“…The desired strategy of this work is to obtain a reference fuel cell current (If c ref ). The detailed modelling and control structure design of this vehicle can be found in [1].…”

Section: A Studied Vehicle Characteristicsmentioning

confidence: 99%

See 1 more Smart Citation

Developing a Health-Conscious Energy Management Strategy Based on Prognostics for a Battery/Fuel Cell Hybrid Electric Vehicle

Yue¹,

Jemeï²,

Gouriveau³

et al. 2018

2018 IEEE Vehicle Power and Propulsion Conference (VPPC)

Self Cite

View full text Add to dashboard Cite

Since the degradation of energy sources in battery/fuel cell hybrid electric vehicles (HEVs) is inevitable and highly influences the durability of the system, an energy management strategy (EMS) aiming at prolonging the lifetime is demanding. In fact, the predictive nature of prognostics gives chance to develop such an EMS, which performs energy management through automatic corrective actions with the help of the awareness of energy sources' health states. This paper has addressed some scientific issues encountered when considering EMS based on prognostics and proposed an EMS based on fuzzy logic control which has successfully mitigated the battery degradation.

show abstract

IEEE VTS Motor Vehicles Challenge 2017 - Energy Management of a Fuel Cell/Battery Vehicle

Cited by 61 publications

References 19 publications

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

Comparative Analysis of Two Online Identification Algorithms in a Fuel Cell System

Real‐time optimal energy management for a fuel cell/battery hybrid system

Developing a Health-Conscious Energy Management Strategy Based on Prognostics for a Battery/Fuel Cell Hybrid Electric Vehicle

Contact Info

Product

Resources

About