Experimental Study of Lithium-Ion Battery Thermal Behaviour for Electric and Hybrid Electric Vehicles

An experimental study of lithium-ion battery thermal behaviour for automotive applications is presented. Experiments are conducted for a pack of three battery cells which encounter a series of different discharge and cooling conditions. Results show the different temperature distribution on different locations of the battery cell surface with the highest temperature increase near the positive and negative electrode. The temperature increases sharply if the state of charge (SOC) is too small (less then 20%). Higher discharge rate contributes to higher temperature increase and bigger maximum and minimum temperature difference. Higher cooling air velocity helps to decrease the overall temperat…

Parametric Design and Sizing of a Fuel Cell Hybrid Electric Racing Car

Route Generating Algorithm Based on OpenSource Data to Predict the Energy Consumption of Different Vehicles

This work presents an algorithm that can be used to generate a route, based on OpenSoure Data. The generated route considers different route conditions like speed limits, traffic information, traffic lights, wind, and topography. Based on a generated inner city and highway cycle it is shown why those conditions are important for the calculation of energy consumption, drive time and stop time.

Review on the aging mechanisms in Li-ion batteries for electric vehicles based on the FMEA method

With the increasing number of sold electric vehicles, the diagnosis of lithium ion traction batteries will become an important topic. For the development of diagnostic concepts, it is of high importance to have a good overview and knowledge of the internal aging mechanisms which happen inside a single cell. This paper presents a review of existing literature on this topic and summarizes the known aging mechanisms using the FMEA method (Failure Mode and Effects Analysis) in order to categorize them and establish the relationship between failure effects and causes. Based on the summarized information, new diagnostic concepts can be developed.

Artificial driving cycles for the evaluation of energetic needs of electric vehicles

International audience; This article presents a novel method to simulate artificial driving cycles that have the same significant characteristics as measured driving cycles. The driving cycles are based on only two different easily accessible parameters namely mean velocity and mean positive acceleration as well as their standard variations. Those parameters allow to adapt the driving cycles to different cycle types (urban, extra urban, highway), length and duration. Other than know drive cycle simulators, the approach is based on normal distribution of velocities and accelerations, thus needing to analyze only few cycles for the initialization.

Prédiction de cycle et stratégie de gestion énergétique basée sur une méthode d’optimisation globale

International audience; La nécessité de prédire le cycle de conduite d’un automobiliste afin d’améliorer sa gestion énergétique et ainsi réduire la consommation de carburant a été démontré (Debert, Quigley). Dès lors, il serait aisé d’appliquer une méthode d’optimisation globale, telle que la Programmation Dynamique (DP en anglais), pour obtenir la stratégie optimale. Cette méthode est déjà utilisée dans de nombreuses applications (Sciarretta), mais au quotidien nombreux sont les facteurs environnants qui peuvent perturber les conditions de circulation (météo, travaux, accidents....) et impacter le cycle de conduite. Il est donc nécessaire d’élaborer une stratégie adaptative en temps réel. …

Interface to Create Driving Cycles and Load Profiles for Different Kinds of Vehicles.

With the development of the automotive industry and computer technology, the demand for the vehicle power system simulation is also growing. A good simulation model can be fast and accurate to estimate the power performance, energy demand and operational efficiency for different driving cycles and different vehicles. Based on the background, the purpose of this interface is to allow users to quickly select/create driving cycles, load profiles for different vehicles and choose the calculation approach in order to simulate the vehicle dynamic performance in the running process, the results values can be displayed and plotted by 2D&3D form through this interface.

Adaptive control of hybrid vehicle depending on driving cycle analysis

The most adapted energy management in hybrid electric vehicles depends on the current driving situation. This paper describes a novel control strategy based on driving cycle recognition. A Driving Cycle Recognition Algorithm (DCRA) is firstly presented. It allows recognition between three driving modes: urban, suburban and highway. A real-time control strategy is then defined based on fuzzy logic using DCRA. Results are presented and compared to fuzzy logic controllers parametrized for urban or highway cycles.

A Numerical Optimisation of a Stirling Engine

International audience; A zero dimensional finite-time thermodynamic, three zones model of a generic Stirling engine has been developed and experimentally validated. Taking into account time-dependant heat transfers and losses, the model calculates the evolution of gas temperature, mass and pressure in each zone.

Characterisation of a commercial automotive lithium ion battery using extended Kalman filter

This paper presents a extented Kalman filter based on a dynamic model of a commercial lithium ion battery pack in automotive applications, and experimental data are collected using the Noao. This vehicle is an electric track with range extender, which has been developed and produced by the association Pole de Performance de Nevers Magny-Cours (PPNMC). This model has been developed with MATLAB/Simulink to investigate the output characteristics of lithium-ion batteries. It incorporates I-V performance of the battery, battery capacity fading, temperature effect on battery performance, and the battery temperature rise. This estimation technique is used in order to estimate some parameters, whic…

Energetic macroscopic representation and inversion based control of fuel cell in a series hybrid race vehicle system

This paper studies the replacement of engine and generator as range extender in a hybrid racing car with a fuel cell system. A model of the original system of the car using range extender consisting of an internal combustion engine and electric generator has been developed respecting the action-reaction principle used by energetic macroscopic representation (EMR) and its inversion based control (IBC) to organise its subsystems interconnection according to the physical causality. Results from drive tests of the real car on racing circuit are used to validate the model. The objective of this paper is to study the parameterisation and the integration of fuel cell stack components based on this…

Tournée de Véhicule électrique et prise en compte du vieillissement des batteries

Predictive Energy Management for Hybrid Vehicles Based on Driving Cycle Recognition

International audience; This article presents a novel approach to design an optimum energy management for a series plug-in hybrid electric vehicle based on driving cycle recognition. Thanks to an intensive study of driver habits, an important part of cycles is predictable. Optimized energy management can be developed for representative cycles via DP. Those results can be applied to the same cycle with slight adaptations thereafter with quality factors above 98%.

ADAPTION OF MULTI-PHYSICS PEM FUEL CELL MODEL USING SENSITIVITY ANALYSIS

This paper presents the adaption of an existing multiphysics 1D fuel cell model to an existing PEM fuel cell system. The input parameters of the model are separated into system properties, linked to physical values, and running conditions. On the 40 system properties required, a sensitivity analysis was applied in order to identify that only four membrane properties have the most influence on the stack voltage. These parameter values were identified by optimization. The prediction accuracy with the new parameter values decreased to 1.48%.

Simple method of estimating consumption of internal combustion engine for hybrid application

This article presents two simple methods to evaluate the fuel consumption of internal combustion engines. Furthermore, it points out the link between piston volume, engine size and fuel consumption as it gives the possibility to visualize the chosen working points inside an internal combustion engine operation points map. This leads to the fact that this approach is a very helpful tool for the design of hybrid systems including internal combustion engines. The two presented methods, one very simple, one more elaborated, are interesting as first approach of internal combustion engine sizing and to evaluate the consumption of internal combustion engine. The results for six pure internal combu…

Model and Control Strategy Simulation of a Racing Series Hybrid Car

Action-reaction principle of Energetic Macroscopic Representation (EMR) and its Inversion Based Control (IBC) is used to organize subsystems interconnection of Noao, a plug-in series hybrid race car equipped with lithium-ion battery pack and an engine/generator set as its range extender, according to the physical causality. Results from drive test of the real car are used to validate the model. The objective of this paper is to provide a dynamic model of this car in order to improve its control scheme and analyse the impact of its optimisation.

Methanol fuel processor and PEM fuel cell modeling for mobile application

International audience; The use of hydrocarbon fed fuel cell systems including a fuel processor can be an entry market for this emerging technology avoiding the problem of hydrogen infrastructure. This article presents a 1 kW low temperature PEM fuel cell system with fuel processor, the system is fueled by a mixture of methanol and water that is converted into hydrogen rich gas using a steam reformer. A complete system model including a fluidic fuel processor model containing evaporation, steam reformer, hydrogen filter, combustion, as well as a multi-domain fuel cell model is introduced. Experiments are performed with an IDATECH FCS1200™ fuel cell system. The results of modeling and experi…

Autonomy estimation for EV based on road planning software

A methodology to estimate the energy consumption of an electric vehicle is presented. An approach to create a driving cycle based on data extracted from road planning software is developped; it is used to forecast the total cycle energy consumption. Results are compared to the ones obtained from the corresponding actual driving cycle. The influence of road elevation is taken into. Results match with regard to vehicle velocities, power demand and estimated energy consumption, with a maximum error of 10%. It can thus be concluded that road planning-based energy consumption estimation can be a useful tool by providing accurate information to drivers.

Dynamic Modeling and Driving Cycle Prediction for a Racing Series Hybrid Car

International audience; This paper presents Noao, a plug-in series hybrid racing car equipped with an engine/generator set as range extender. To determine the velocity profile, i.e., performance of the car and its power profile, a dynamic model for this car is developed using pedal position as input. This value is easy to measure, representative for race cycles, and presents a novelty. The model is validated with the results from experiments. An analysis based on the map of Magny-Cours racing circuit and drivers pedal action on certain zones of the circuit is formulated and is used as a prediction tool to determine drivers inputs on other racing circuits and generate driving schedules. The …

Sizing of ICE and Lithium-ion battery for series hybrid vehicle over life cycle with battery aging

This paper presents a method to evaluate the volume and weight of the internal combustion engine (ICE) and lithium-ion battery for a series hybrid vehicle that allows to minimize the mean consumption over system life. Individual driving cycles of the car over a total distance of 100 000 km are simulated. The ICE and battery dimensions are approximated; the fuel consumption is evaluated using a general approach. Lithium-ion battery is described including capacity fading and the energy split between ICE and battery system is evaluated using an heuristic approach. Results show a decrease of mean fuel consumption down to 5.1 L/100km.

Multi Architecture Optimization of a Hybrid Electric Vehicle Using Object-Oriented Programming

This article presents an energetic macroscopic representation multi-architecture model for hybrid vehicles using object-oriented programming. This approach is successfully used to evaluate the power performance and fuel consumption of different vehicles on different driving cycles. An optimization of power source sizing (ICE, EM and Battery) and system control, based on simulation results, is carried. Different architectures are compared for given cycles and optimization of hybrid architecture will also be possible.