Search results for "Driving cycle"
showing 10 items of 13 documents
Experimental Study of Lithium-Ion Battery Thermal Behaviour for Electric and Hybrid Electric Vehicles
2014
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…
Energy management strategy to reduce pollutant emissions during the catalyst light-off of parallel hybrid vehicles
2020
Abstract The transportation sector is a major contributor to both air pollution and greenhouse gas emissions. Hybrid electric vehicles can reduce fuel consumption and CO2 emissions by optimizing the energy management of the powertrain. The purpose of this study is to examine the trade-off between regulated pollutant emissions and hybrid powertrain efficiency. The thermal dynamics of the three-way catalyst are taken into account in order to optimize the light-off. Experimental campaigns are conducted on a spark-ignition engine to introduce simplified models for emissions, exhaust gas temperature, catalyst heat transfers and efficiency. These models are used to determine the optimal distribut…
Adaptive control of hybrid vehicle depending on driving cycle analysis
2013
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.
Experimental test on a fuel cell powered brushless synchronous motor for automotive applications
2014
In this paper, a fuel cell powered motor emulator is proposed. The MATLAB/Simulink model including the fuel cell stack, the motor and drive models is described. The Urban Driving Cycle test is performed in MATLAB environment. Effective operating conditions of the whole fuel cell powered motor are accurately emulated according to actual regulations in force. The emulated current profile is used for experimental tests on a 5kW Nuvera PowerFlow stack. Thanks to the proposed approach, the motor and inverter drives are accurately emulated and the provided test-bench is used to evaluate performances of the stack under test for automotive applications. Simulation and experimental results are compa…
Analysis of driving cycles effects on power supply requirements of a fuel cell powered light-weight electric vehicle
2015
In this paper, fuel cell powered lightweight vehicles are addressed. A MATLAB/Simulink simulation model including motor, electrical drive, the fuel cell and power electronics systems is implemented. The model is well suited to perform the driving cycle test, which reproduces the speed pattern of an electric vehicle through urban, rural or motorway routes. This paper aims at investigating the most suited driving cycle to design high performances hybrid power supply for electric vehicles in terms of cruising range, cost and size of the power supply equipment. For this purpose, a legislative and a real-world driving cycles are selected. Effects of driving cycles on the power system requirement…
Autonomy estimation for EV based on road planning software
2014
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
2014
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 …
A six legs buck-boost interleaved converter for KERS application
2020
This paper addresses the design of a bi-directional DC/DC power converter to interface a supercapacitor bank and a motor-generator unit. The design is based on an interleaved six legs topology in which the current is shared among six inductors to minimize their weight and cost, allowing, besides, a low switching frequency to lessen switching losses. The converter is conceived to be employed in an electric Kinetic Energy Recovery System for Internal Combustion Engine Vehicles. The system makes use of a supercapacitor as a storage system, and a motorgenerator unit connected to the drive shaft for vehicle acceleration and braking. The system uses available commercial devices, thus obtaining a …
Artificial driving cycles for the evaluation of energetic needs of electric vehicles
2012
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.
Predictive Energy Management for Hybrid Vehicles Based on Driving Cycle Recognition
2017
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%.