[English]sae convergence2010 final2

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Presentation on Chinese Green Drive experiment at SEA Convergence on Oct. 19, 2010.

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[English]sae convergence2010 final2

  1. 1. SAE Convergence 2010 NISSAN Motor Co., Ltd. Vehicle IT Business Unit Tsuguo Nobe Oct. 19, 2010 Connected Vehicle Accelerates Green Driving 10CNVG-0034
  2. 2. NISSAN’s Triple Layered Approach for ECO <ul><li>ECO Telematics of CARWINGS is a combination of “Society/Traffic” and “Driver” approach </li></ul>Society/Traffic Vehicle Driver <ul><li>Vehicle-Infrastructure Cooperative System </li></ul><ul><li>DRG (Dynamic Route Guidance) . improves traffic environment </li></ul><ul><li>(Traffic/Road infrastructure) </li></ul><ul><li>Support ECO-driving </li></ul><ul><li>(ECO-meter, ECO-driving advice system) </li></ul><ul><li>Raise awareness for ECO-driving </li></ul><ul><li>EMS (ECO Management System) </li></ul><ul><li>Engine improvement </li></ul><ul><li>(DIG, VVEL, Clean diesel, CVT, etc.) </li></ul><ul><li>Bio-fuel vehicles </li></ul><ul><li>Electric powered vehicles </li></ul><ul><li>(HEV, EV, FCV, Compact Li-ion battery, etc.) </li></ul>
  3. 3. ECO Telematics <ul><li>Dynamic Route Guidance and ECO management </li></ul>Traffic Info. Center Navigation System Congestion Congestion Congestion Traffic Conditions CARWINGS Center CARWINGS NAVI Fastest Route ① DRG ② EMS ② EMS ① DRG ECO Telematics Major ECO prizes from Japanese Government awarded consecutively in ’07, ‘08, ‘09, and ‘10. Congestion Probe 4. Provide an advice for their further improvements Driving Advice 3. Notify the Ranking among other drivers like a game Efficiency rank Real-time Traffic Information 0 10 20 40 60 80 100 120 20 Speed[km/h] Fuel Efficiency[km/L] 25 15 5 0 悪化ゾーン 悪化ゾーン 安定ゾーン Speed Time General driving Source: Web site of JAF (Japan Automobile Federation) Fluffy Start Pedal work for constant speed Effective use of speed attrition Idling stop ECO Drive Waste ECO Drive Advice DRG 1. Display the actual fuel consumption on Navigation 2. Also, display the result on CARWINGS official website Fuel consumption ECO Driving
  4. 4. ECO Telematics: Effects of DRG <ul><li>DRG-enabled Navigation System increased the average speed by 25% and reduced the emission of CO2 by 17% </li></ul><ul><ul><li>based on our experiments in Kanagawa Prefecture in Japan </li></ul></ul><ul><ul><li>With using probe data in conjunction with VICS data, NISSAN started commercial implementation of DRG, with statistical analysis to forecast the near-future traffic congestions in 2006. </li></ul></ul>+7% +18% +25% 15 17 19 21 23 Average Velocity (km/h) 4.0 4.5 5.0 5.5 Average CO2 Emission (kg) -9% -8% -11% -9% -20% 50 55 60 65 Average Travel Time (min) -17% Non-VICS VICS w/o Probe VICS w/ Probe VICS w/ Probe VICS w/o Probe Non-VICS Non-VICS VICS w/o Probe VICS w/ Probe
  5. 5. ECO Telematics: Effects of EMS <ul><li>Fuel efficiency will be further improved if drivers pay attention to energy-efficient driving </li></ul>←   Drivers  -> 0 Fuel Efficiency [km/L] After Before 18% improvement Case in Japan 2 4 6 8 10 12 14 16 18 20 ※ Sample with small cars
  6. 6. ECO Telematics: Effects of EMS <ul><li>EMS experiments: Case in China </li></ul>Sep. 2009 Ratio of Fuel Efficiency improvements Before EMS (litter/100km) After EMS (litter/100km) Ratio of Improvement Shanghai (18 persons) 9.75 8.47 15.1% Beijing (4 persons) 9.33 7.85 18.8%
  7. 7. ECO Telematics: Effects of EMS <ul><li>EMS is effective at the time of both traffic congestions and free flow traffic </li></ul>DRG EMS Traffic Congestions ++ + Free Flow Traffic ± +
  8. 8. Implementation of ECO Telematics in Beijing <ul><li>Dynamic Route Guidance using Taxi Probe </li></ul><ul><li>Simulation of effectiveness in four areas in Beijing </li></ul>Antenna Navigation Screen Navigation System Real Time Traffic Information BTIC Heavy Traffic Moderate Traffic Free Flow A B C D Office and Commercial Area Academic Area Residential Area Governmental Area <ul><li>Zhong Guan Cun </li></ul>C. Zhengfu Jie B. Wang Jing D. CBD
  9. 9. Effects of ECO Telematics <ul><li>Simulated traffic conditions in 2020 based on the following effects: </li></ul><ul><ul><li>Available road network has been forecasted based on the Beijing's Future Road Plan in 2020. The improved road infrastructure provides more available alternative routes for the better traffic conditions. </li></ul></ul><ul><ul><li>Congestion rate of street was assumed from the increasing rate of 5% per year considering Beijing’s policy to shift for public transport system. </li></ul></ul><ul><ul><li>Route selection behavior was analyzed from the interviews of two thousand professional taxi drivers in Beijing. </li></ul></ul><ul><ul><li>Penetration rate of DRG-enabled Navigation Systems is set as variable. </li></ul></ul>ECO Telematics Effect of improved traffic congestion = × available road network congestion rate of street × × driver's route selection behavior penetration rate of DRG-enabled Navigation Systems
  10. 10. Expected effects <ul><li>Expected effects of dispersion of vehicles in congested road will result in broader optimization of traffic flow </li></ul>Current situation Congestion Goal : Vehicles using traffic information Real Time Traffic Information Equilibration Congestion relieved
  11. 11. Results of simulation Penetration rate of DRG Navigation Systems 0 10 20 30 1. With Traffic Information 3. Overall 2. Without Traffic Information A. Zhong Guan Cun Academic area 0 10 20 0% 10% 20% 30% 40% 50% Penetration rate of DRG Navigation Systems 1. With Traffic Information 3. Overall 2. Without Traffic Information Average Speed (km/h) <ul><li>Big advantage for the vehicles using DRG Navigation Systems from the day one </li></ul><ul><li>Zhong Guan Cun: 10 ->18km/h </li></ul><ul><li>CBD:9 -> 21km/h </li></ul><ul><li>Secondary advantage even for vehicles without traffic information as the penetration rate of DRG Navigation Systems increases. </li></ul><ul><li>When the penetration rate of DRG enabled Navigation Systems exceeds 30% , overall traffic flow will be optimized . </li></ul>Average Speed (km/h) 0% 10% 20% 30% 40% 50% Office Area D. CBD Vehicles using traffic information Real-time Traffic Information Dispersion Lower Conges-tion
  12. 12. Conclusions <ul><li>Dynamic Route Guidance (DRG) helps drivers to avoid traffic congestions and results in shorter travel time up to around 20% with better fuel usage and, thus, reduction of CO2 emission. </li></ul><ul><li>If the penetration rate of DRG-enabled Navigation Systems exceeds 30% among the total number of vehicles, overall traffic flow will be optimized. </li></ul><ul><li>ECO-driving Advice (EDA), which changes the human factor of vehicle driving, has been proved efficient for the better fuel efficiency and ecologically friendly driving in Japan and China. With more penetration of navigation systems and communication devices worldwide, further implementation of Green Driving would be pursued. </li></ul>
  13. 13. One Addition <ul><li>Electric Vehicle </li></ul>Society/Traffic Vehicle Driver <ul><li>Vehicle-Infrastructure Cooperative System </li></ul><ul><li>DRG (Dynamic Route Guidance) . improves traffic environment </li></ul><ul><li>(Traffic/Road infrastructure) </li></ul><ul><li>Support ECO-driving </li></ul><ul><li>(ECO-meter, ECO-driving advice system) </li></ul><ul><li>Raise awareness for ECO-driving </li></ul><ul><li>EMS (ECO Management System) </li></ul><ul><li>Engine improvement </li></ul><ul><li>(DIG, VVEL, Clean diesel, CVT, etc.) </li></ul><ul><li>Bio-fuel vehicles </li></ul><ul><li>Electric powered vehicles </li></ul><ul><li>(HEV, EV, FCV, Compact Li-ion battery, etc.) </li></ul>
  14. 14. NISSAN LEAF: Zero Emission Mobility Smart Mobility
  15. 15. NISSAN EV will be Networked Car <ul><li>NISSAN “LEAF” </li></ul><ul><li>Launch: </li></ul><ul><ul><li>Japan, US, and Europe in 2010 </li></ul></ul><ul><ul><li>Other countries in 2012 </li></ul></ul><ul><li>Specification: </li></ul><ul><ul><li>Pure Electric Vehicle </li></ul></ul><ul><ul><li>24Kwh; 2-day worth of one house-hold usage </li></ul></ul><ul><ul><ul><li>8-hour with normal charge </li></ul></ul></ul><ul><ul><ul><li>20 min with quick charge (up to 80%) </li></ul></ul></ul><ul><ul><li>Runs 100 miles (@LA4) with battery </li></ul></ul><ul><ul><li>Max power 80Kw (280Nm) </li></ul></ul><ul><ul><li>Max Speed 140Km/h+ </li></ul></ul><ul><ul><li>Weight 1.6-1.7t </li></ul></ul><ul><ul><li>4445x1770x1550, W/B 2700mm </li></ul></ul>・ Notify completion of charge ・ A/C start EV-EMS Connection ・ Timer based charge   (use mid-night electricity) 24 hour available Check charging status Home Home Distance to go w/remaining battery NISSAN Global Data Center DCM CAN Embedded Cellular Phone ★ Charging spot update 24 hour available
  16. 16. <ul><li>NISSAN provides “Last One Mile Connection” with the combination of DCM and GDC </li></ul><ul><ul><li>Beyond the Data Center, any services can be connected </li></ul></ul>IT support for EV NISSAN Global Data Center (GDC) Cellular Phone Network Data Communication Module (DCM) Internet/ Cloud Reachable Distance Up-to-date Charging Spots Remote Battery Check 乗車前 乗車中 乗車後 Timer-based Air-conditioning Off Board Onboard Off Board Trip planning and management Timer-based Battery Charge
  17. 17. Yokohama Zero Emission Project <ul><li>Feasibility Study started with Yokohama-City for Low Carbon Community </li></ul>Zero Carbon Low Carbon Community Park & Ride Smart House Probe Traffic Info. Smart Grid PV Charger Station Charging Spot Car Sharing Renewable Energy
  18. 18. <ul><li>From ECO Management to Energy Management </li></ul><ul><ul><li>Energy Use Minimum </li></ul></ul>Energy Management System Energy Map CARWINGS Data Center <ul><li>勾配情報 </li></ul><ul><li>規制速度 </li></ul><ul><li>渋滞情報 </li></ul><ul><li>補機負荷 </li></ul><ul><li>Charging </li></ul><ul><li>Congestions </li></ul><ul><li>Events </li></ul><ul><li>Slope </li></ul><ul><li>....... </li></ul>Navigation Screen Reacheable Area Smart Community ECO Route
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  20. 20. THANK YOU

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