Development of driving cycle. Pegah Nouri Chaire Mobilité, Polytechnique Montréal Director: Pr Catherine Morency

Dimension: px

Commencer à balayer dès la page:

Download "Development of driving cycle. Pegah Nouri Chaire Mobilité, Polytechnique Montréal Director: Pr Catherine Morency"

Eloi Rémi Rochon
il y a 7 ans
Total affichages :

1 Development of driving cycle Pegah Nouri Chaire Mobilité, Polytechnique Montréal Director: Pr Catherine Morency 1

2 Table of content Introduction o Driving cycle Development of driving cycle o o Step 1: Data collection Step 2: Microtrip generation o Different definitions for microtrips o o o Step 3: Microtrip classification (clustering) Step 4: Construction of driving cycle Step 5: Driving cycle evaluation measures Conclusion Future works 2

3 Do you know how the fuel consumption or the pollution emissions are measured? A. Yes B. No 3

4 Definition and application of driving cycles Speed-time Profile Represents the average driving behavior in a region 4

5 Why the real fuel consumptions are never like the displayed value? 5

6 We cannot rely on the displayed values, because: A. The displayed values are not true B. The fuel consumption measurement is not sufficiently precise C. The real driving conditions are different from the laboratory conditions D. Your driving cycle is unique E. All the answers are correct

7 Influence factors Regulations and technologies Education Route Vehicle type Driving behavior Climate Driver 7

8 The process of the local driving cycle development 1. Data collection 1. Car chase 2. On-board instrumentation with instruction 3. On-board instrumentation normal daily driving 2. Generation of the microtrips 3. Classification of the microtrips (clustering) 4. Construction of the driving cycle 5. Evaluation of the developed driving cycles 8

9 Step 1: data collection On-board instrumentation with instruction 8 drivers Toyota Yaris 3 days (45 hours) January 7h 22h app. 2 km/trip app. 45 minutes/trip OBDII datalogger with GPS Port OBDII Data logger DashDyno SPD 9

10 Step 1: data compilation Speed (km/h) 75 Speed profile trip Time (sec.) Highway Speed (km/h) 75 Speed profile trip Time (sec.)

11 Microtrips are smaller section of the trip There are different definitions Speed (km/h) Time (sec.) 3 Temps (sec.) 3 Speed (km/h) Time (sec.) 3 Temps (sec.) 3

12 1. The profile between two stops 6 Speed (km/h) Time (sec.)

13 2. The profiles with fixed time 6 seconds 6 Speed (km/h) Time (sec.)

14 3. The profiles with fixed distance - 5 meters 6 Speed (km/h) Time (sec)

15 4. The speed range profiles Speed (km/h) Time (sec)

16 5. The profiles between two intersections 6 Speed (km/h) Time (sec)

17 6. The profiles based on acceleration 6 Speed (km/h) Time (sec) 15 17

18 Step 3: classification of the microtrips C3 C1 Speed Acceleration Frequency Distribution (SAFD) Distribution (%) 3% 2% 1% C2 % Speed groups (km/h) > , , -.2 < -1.4 Acceleration groups (m/s2)

19 Creation of the cycle The probabilistic simulation of the microtrip sequence, based on the distribution in the observed data Step 4: development of the driving cycle CL_1 There is 31% probability that a microtrip from type Start being followed by a microtrip of the type CL_3 CL_2 CL_3.

20 Step 5: driving cycle evaluation measures Parameters Difference in SAFD Total average speed Running average speed (speed > ) Maximum speed Total average acceleration Average acceleration here a eleratio s Number of accelerations / decelerations Root mean square of acceleration Total power of the engine Time proportion of driving in following modes: Idle(V = ) A eleratio a.. /s Cruising(-.1 m/s2 < acc. <.1 m/s2, V > 5 m/s) De eleratio a. -.1 m/s2) Creeping (-.1 m/s2 < acc. <.1 m/s2, V < 5 m/s) Unit % Km/h Km/h Km/h m/s2 m/s2 m/s2 kw % % % % % 2

21 Comparison of different definitions Method Fixed distance Intersection SAFD Ave. Speed Ave. Running Speed Max. Speed Ave. Acceleration.1 Ave. Deceleration.1 No. of Accelerations Root mean square Acc..2.1 Average power Idle time.1 Acceleration time.1 Cruise time.1 Deceleration time.1 Creep time Stops Speed range Sec. Acceleration

22 Conclusion Comparison of the driving cycles constructed based on the microtrips achieved by different approaches with previous indicators and the REFERENCE (all the observations) The best methods in descending order are: Fixed distance Intersection Between stops Speed range Fixed time Acceleration 22

23 Future works To develop the Montreal driving cycle: Larger database Different types of vehicle Data collection with normal daily driving 23

24 Questions? Thank you 24

25 Cycle représentatif des trajets Cycle représentatif des trajets (-15 sec.) 8 Vitesse (km/h) Temps (sec) Cycle représentatif des trajets (15-3 sec.) 8 Vitesse (km/h) Temps (sec)

26 Changements climatiques et transport La distributio d é issio de GES au Québec Changements climatiques Déchets 6% Anomalie de la température mondiale des sols et des océans,8 Agriculture 8% Anomalie de la température ( C) Moyen Annuel,6 Electricité 1% Moyen de 5 An,4 Transport 43%,2 Industrie 28% -,2 -,4 -, Hansen, James E., & Schmunk, Robert B. GISS Surface Temperature Analysis. Résidentiel, commercial et institutionnel 14% Paradis, Julie. (211). Inventaire Québécois des Émissions de Gaz à Effet de Serre en 29. Ministère du Développement durable, de l E iro e e t et des Par s - Direction des politiques de la qualité de l at osph re. 26

27 Les facteurs influençant la consommation de carburant Type de véhicule Type de carburant Légers Lourds Conventionnel Alternatif Kilométrage Comportement Activité L tat a ia t Caractéristiques de la route Vitesse Accélération Température Humidité Type Pente 27

28 Étape 1: collecte de données Poursuite de véhicule + - Choisir les routes à étudier Identifier les véhicules à suivre Échantillon (le véhicule à suivre) aléatoire Les données de vitesse dépendent de la compétence du conducteur La méthode utilisée Étude Instrumentation à bord sur l utilisatio des véhicules (EUVC) avec instruction Par transport Canada + Choisir un trajet Possi ilit d e registrer les itesse rita les Instrumentation à bord - conduite normale quotidienne + + Identifier un échantillon (des conducteurs) représentatif de la population et recruter les conducteurs Conduite plus réaliste Possibilité de collecte de données en abondance et à faible coût 28

29 Les profils de vitesse

Documents pareils

Instructions Mozilla Thunderbird Page 1

Instructions Mozilla Thunderbird Page 1 Instructions Mozilla Thunderbird Ce manuel est écrit pour les utilisateurs qui font déjà configurer un compte de courrier électronique dans Mozilla Thunderbird et