U.SfS. Department of Energy’s Vehicle Technologies Program · U.SfS. Department of Energy’s Vehicle Technologies Program ... Leafs Volts Total Vehicles Smart Evs EV Project Leafs,Smart

S fU.S. Department of Energy’s Vehicle Technologies Program

NYC TLC - Plug-in Electric Vehicle I f t t d U I f tiInfrastructure and Usage Information

Jim FrancfortIdaho National Laboratoryy

NYC Taxi and Limousine CommissionNew York, New York,February 2013This presentation does not contain any proprietary or sensitive information

Idaho National Laboratory Bio-massBio-mass

N lNuclearHydropowerHydropower

• U.S. Department of Energy (DOE) laboratory • 890 square mile site with 4 000 staff

WindWind

• 890 square mile site with 4,000 staff• Support DOE’s strategic goal:

– Increase U.S. energy security and reduce the ti ’ d d f i ilnation’s dependence on foreign oil

• Multi-program DOE laboratory– Nuclear EnergyNuclear Energy– Fossil, Biomass, Wind, Geothermal and Hydropower

EnergyAdvanced Vehicles and Battery Development G th l

2

– Advanced Vehicles and Battery Development– Homeland Security and Cyber Security

Geothermal

AVTA ParticipantsTh Ad d V hi l T ti A ti it (AVTA) i th U S• The Advanced Vehicle Testing Activity (AVTA) is the U.S. Department of Energy, Vehicle Technologies Program’s (VTP) singular field, tract, and laboratory based source of t ti li ht d t h l hi l t d b ttesting light-duty whole vehicle systems and subsystems– Idaho National Laboratory manages the AVTA for VTP– ECOtality provides testing support via a competitively y p g pp p y

bid NETL (National Energy Testing Laboratory) contract

• For the EV Project, ECOtality is the project lead and INL j , y p jprovides data collection, analysis and dissemination support

• Test partners include electric utilities, Federal, state andTest partners include electric utilities, Federal, state and local government agencies, private companies, and individual vehicle owners

3

AVTA GoalsTh AVTA l• The AVTA goals– Petroleum reduction and energy security– Benchmark technologies that are developed via DOEBenchmark technologies that are developed via DOE

research investments• Provide benchmark data to DOE, National Laboratories

(ANL, NREL, ORNL, PNNL), Federal Agencies (DOD, DOI,(ANL, NREL, ORNL, PNNL), Federal Agencies (DOD, DOI, DOT, EPA, USPS), technology modelers, R&D programs, vehicle manufacturers (via USCAR’s VSATT, EESTT, GITT), and target and goal setters ), g g

• Assist fleet managers, via Clean Cities, FEMP and industry gatherings, in making informed vehicle and infrastructure deployment and operating decisionsinfrastructure deployment and operating decisions

4

Vehicle / Infrastructure Testing Experience82 illi il l d 11 200 l i d i• 82 million test miles accumulated on 11,200 electric drive vehicles representing 115 models. 1 million miles / week

• EV Project: 7,700 Leafs, Volts and Smart EVs, 10,076 EVSE and DC Fast Chargers (DCFC), 64 million test miles

• ChargePoint: 3,908 EVSE reporting 761,000 charge events

• PHEVs: 14 models, 430 PHEVs, 4 million test miles• EREVs: 1 model, 150 EREVs, 900,000 test miles• HEVs: 21 models 52 HEVs 6 2 million test miles• HEVs: 21 models, 52 HEVs, 6.2 million test miles • Micro hybrid (stop/start) vehicles: 3 models, 7 MHVs,

509,000 test miles NEV 24 d l 372 NEV 200 000 t t il• NEVs: 24 models, 372 NEVs, 200,000 test miles

• BEVs: 47 models, 2,000 BEVs, 5 million test miles • UEVs: 3 models, 460 UEVs, 1 million test miles

5

, ,• Other testing includes hydrogen ICE vehicle and

infrastructure testing Note: all 4th quarter 2012 data is preliminary and subject to change

INL Vehicle/EVSE Data Management Process

File serverFile serverSQL Server data warehouseSQL Server data warehouse

File serverSQL Server data warehouse

HICEVs

Parameters range checkParameters range check

Lame data checkLame data check

Missing/empty parameter checkMissing/empty parameter check

Conservation of energy checkConservation of energy check

SOC continuitySOC continuity

Parameters range check

Lame data check

Missing/empty parameter check

Conservation of energy check

SOC continuity

Data qualityreports

Process Driven by Disclosure Agreements

INL Database

SQL Server data warehouseSQL Server data warehouse

Report generatorReport generator

SQL Server data warehouse

Report generator

HEVs

INL V hi l D t

Transfer completionTransfer completionTransfer completion

Individual vehicle reports

PHEVsINL Vehicle Data Management System

reports

Fleet summary

BEVs & EREVs

yReports - Public

Focused technicalanalyses and

EVSE & Chargersanalyses and

custom reports25 50 75 100 125 150 175 200 225 250 275 30

Trip Fuel Economy (mpg)

p gg ( p p p )

CD trips

CD/CS trips

CS trips

Log. (CD trips)

Log. (CD/CS trips)

Avg Hourly Vehicle Charging Demand

9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9

Mon AM - Tues AM

Tue AM - Wed AM

Wed AM - Thu AM

Thu AM - Fri AM

Fri AM - Sat AM

Sat AM - Sun AM

Sun AM - Mon AM

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

25 50 75 100 125 150 175 200 225 250 275 30

Trip Fuel Economy (mpg)

p gg ( p p p )

CD trips

CD/CS trips

CS trips

Log. (CD trips)

Log. (CD/CS trips)

Avg Hourly Vehicle Charging Demand

9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9

Mon AM - Tues AM

Tue AM - Wed AM

Wed AM - Thu AM

Thu AM - Fri AM

Fri AM - Sat AM

Sat AM - Sun AM

Sun AM - Mon AM

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

6

Time of Day

600-

659

700-

759

800-

859

900-

959

1000

-105

911

00-1

159

1200

-125

913

00-1

359

1400

-145

915

00-1

559

1600

-165

917

00-1

759

1800

-185

919

00-1

959

2000

-205

921

00-2

159

2200

-225

923

00-2

359

000

- 059

100-

159

200-

259

300-

359

400-

459

500-

559

Time of Day

600-

659

700-

759

800-

859

900-

959

1000

-105

911

00-1

159

1200

-125

913

00-1

359

1400

-145

915

00-1

559

1600

-165

917

00-1

759

1800

-185

919

00-1

959

2000

-205

921

00-2

159

2200

-225

923

00-2

359

000

- 059

100-

159

200-

259

300-

359

400-

459

500-

559

Modeling and simulation input

INL Data Management System - Push(Nissan, GM, Chrysler, Coulomb, Aerovironment)

Protected Data

EV Project Access restricted by fi ll l

Vehicle and

Charger Data





Lame data check


jTeam

EV Project

firewall rules



Transfer completionTransfer completion


SOC continuity

Transfer completion

Internal data quality reports

Fleet summaryreports - public

OEM pushes using FTPS/

jFTPS/SFTP Server

INL pulls with encrypted transmission

OEM Data Manage-ment reports publicFTPS/

SFTP

INL transmits reports to DOE And OEMsReports posted on WWW

AVT.INL.GOV

Systems

INL Protect Enclave - EV Project member access only

AVT.INL.GOV

7

INL Internal firewall

INL DMZ Firewall – Public has access to AVT.INL.GOV

INL Data Management System - Pull(ECOtality, Ford, conversion PHEVs, HEVs, HICEs)

Protected DataVehicle and

Charger Data

EV Project Team





Lame data check


INL pulls with encrypted transmission



Transfer completionTransfer completion


SOC continuity

Transfer completion

Internal data quality reports

Fleet summaryreports - public

OEM Data Manage-ment S t

Reports posted on WWWINL transmits reports to DOE And OEMs

reports public

AVT.INL.GOV

Systems

INL Protect Enclave - EV Project member access only

AVT.INL.GOV

8

INL Internal firewall

INL DMZ Firewall – Public has access to AVT.INL.GOV

Data Collection, Security and ProtectionAll hi l EVSE d PII d t i l ll t t d b• All vehicle, EVSE, and PII raw data is legally protected by NDAs (Non Disclosure Agreements) or CRADAs (Cooperative Research and Development Agreements)

Li it ti h i t d ll– Limitations on how proprietary and personally identifiable information can be stored and distributed

– Raw data, in both electronic and printed formats, is not shared ith DOE in order to a oid e pos re to FOIAshared with DOE in order to avoid exposure to FOIA

– Vehicle and EVSE data collection would not occur unless testing partners trust INL would strictly adhere to NDAs and CRADAsto NDAs and CRADAs

– Raw data cannot be legally distributed by INL

9

EV Project Goal, LocationsLocations, Participants, and Reportingp g

G l B ild d t d t h i i f t t d• Goal: Build and study mature charging infrastructures and take the lessons learned to support the future streamlined deployment of grid-connected electric drive vehiclesECOt lit i th EV P j t l d ith INL Ni d• ECOtality is the EV Project lead, with INL, Nissan and Onstar/GM as the prime partners, with more than 40 other partners such as electric utilitiesEV P j t ti i INL t bl d th di ti t• EV Project reporting requires INL to blend three distinct data streams from ECOtality, Nissan and Onstar/GM

• 40 different EV Project reports are generated quarterly for th l bli DOE ECOt lit j t ti i t

10

the general public, DOE, ECOtality, project participants, industry, regulatory organizations, as well as per special requests

EV Project – EVSE Data Parameters Collected per Charge EventCollected per Charge Event • Data from ECOtality’s Blink EVSE network• Connect and Disconnect TimesConnect and Disconnect Times• Start and End Charge Times• Maximum Instantaneous Peak Power

A P• Average Power• Total energy (kWh) per charging event• Rolling 15 Minute Average Peak Powerg g• Date/Time Stamp • Unique ID for Charging Event

U i ID Id tif i th EVSE• Unique ID Identifying the EVSE • And other non-dynamic EVSE information (GPS, ID, type,

contact info, etc.)

11

EV Project – Vehicle Data Parameters Collected per Start/Stop EventCollected per Start/Stop Event• Data is received via telematics providers from Chevrolet

Volts and Nissan Leafs• Odometer• Battery state of charge • Date/Time Stamp• Date/Time Stamp • Vehicle ID• Event type (key on / key off) • GPS (longitude and latitude)• Recorded for each key-on and key-off event

Additi l d t i i d• Additional data is received monthly from Car2go for the Smart EVs

12

EV Project Vehicles / Miles, end of 2012• 7,346 vehicles reporting

data– 5,801 Leafs. 79% 5,000

6,000

7,000

8,000

Leafs Volts Total Vehicles Smart Evs

EV Project Leafs, Smart EVs and Volts ProvidingData ‐ 7,346 (1/6/13)

– 1,215 Volts. 17%– 330 Smart EVs. 4%

• 60 1 million total miles1,000

2,000

3,000

4,000

• 60.1 million total miles• 150,000 test miles per

day

0

40 000 00045,000,00050,000,00055,000,00060,000,00065,000,000

Leafs Volts Total Miles Smart Miles

EV Project Leafs, Smart EVs and Volts Miles Reported ‐ 60.1 Million (1/6/13)

5 000 00010,000,00015,000,00020,000,00025,000,00030,000,00035,000,00040,000,000

13

05,000,000

EV Project EVSE Deployed / Use end of 2012• 9 493 total EVSER id ti l & C i l EVSE& DCFCP idi D t 9 493 (1/6/13) • 9,493 total EVSE

– 6,864 (72%) Residential EVSE 2 575 (27%) non-6,000

7,000

8,000

9,000

10,000Number Residential EVSENumber of Commercial EVSETotal EVSE providing dataNumber of DC Fast Chargers

Residential &Commercial EVSE & DCFC ProvidingData ‐ 9.493 (1/6/13)

2,575 (27%) non-residential EVSE

– 54 (1%) DCFC1 7 illi h0

1,000

2,000

3,000

4,000

5,000

• 1.7 million charge events– 1,579,894 (92%)

0

Residential& Commerical EVSE & DCFC Events Reported ‐ 1.7 Million (1/6/13)

Residential EVSE– 131,298 (8%) non-

residential EVSE1,200,000

1,400,000

1,600,000

1,800,000

2,000,000

# Residential Charging EventsNumber of Comm Charging EventsTotal Number Charging EventsNumber of DCFC Events

– 8,820 (1%) DCFC

200,000

400,000

600,000

800,000

1,000,000

14

0

EV Project Charge Energy (MWh) end of 201214 418 MWh total• 14,418 MWh total electricity charged– 13,328 MWh

(92%) id ti l12,000

14,000

16,000Residential MWhCommercial MWhTotal EV Project MWhDCFCMWh

Residential, Commercial & DCFCMWH Reported ‐ 14,418 (1/6/2013)

(92%) residential– 1,029 MWh (7%)

non-residential4,000

6,000

8,000

10,000DCFC MWh

– 61 MWh (0.4%) DCFC 0

0

2,000

• Vehicle efficiency cannot be accurately calculated using total vehicle miles and total energytotal vehicle miles and total energy– Non-EV Project vehicles sometimes charge at EV

Project EVSEEV Project vehicles may charge at 110V or other 240V

15

– EV Project vehicles may charge at 110V or other 240V non-EV Project EVSE

EV Project Overview Report 4th Quarter 2012• San Francisco has 17% of all EVSE 30% of all Leafs

N b f L f V lt & EVSE R ti D t b R i E d f 4th Q t 2012

• San Francisco has 17% of all EVSE 30% of all Leafs• Washington DC has 16% and Texas has 18% of all Volts

1,5001,6001,7001,800

EVSE Leafs Volts Smart Evs

Number of Leafs, Volts & EVSE Reporting Data by Region - End of 4th Quarter 2012

1,0001,1001,2001,3001,400

500600700800900

0100200300400500

16

0PHX/ Tuscon

LA San Diego

San Fran Wash DC

Oregon Tenn Texas Wash St. Chicago Atlanta Philly

EV Project – National Datad

• Number of vehiclesLeafs3 762

Volts1 021

4rd quarter 2012 Data Only

• Number of vehicles• Number of Trips• Distance (million miles)

3,762969,853

6.7

1,021369,118

3.0• Average (Ave) trip distance• Ave distance per day• Ave number (#) trips between

6.9 mi29.2 mi

3 8

8.1 mi40.5 mi

3 5Ave number (#) trips between charging events

• Ave distance between charging events

3.8

26.3 mi

3.5

28.2 micharging events

• Ave # charging events per day 1.1 1.4

* Note that per day data is only for days a vehicle is driven

17

* Note that per day data is only for days a vehicle is driven

EV Project – Leaf Operations Trends • Some decreases in average miles per day and average g p y g

miles per charge

Ni f D i O i B h i

27.530

32.535

Nissan Leaf Driver Operations Behavior

17.520

22.5257.5

Avg Trip Distance ‐MilesAvg Miles per dayAve Trips Between ChargesA Mil Ch

57.510

12.515 Ave Miles per Charge

Ave # Charges per Day

02.55

1st 2011 2nd 2011 3rd 2011 4th 2011 1st 2012 2nd 2012 3rd 2012 4th 2012

18

Number of Leafs reporting each quarter with matched EVSE data35 956 2,394 2645 2987 2911 3200 3762

EV Project – Leaf Charging Location Trends• 9% increase in home charging and 10% decrease in non-% g g %

home charging as a revenue model is introduced

Nissan Leaf Driver Charing Behavior

80%

90%

100%g

40%

50%

60%

70% Percent home charging

Percent away from home charging

Percent unknown locations

10%

20%

30%

40%

Number of Leafs reporting each quarter with matched EVSE data

0%

10%


19

Number of Leafs reporting each quarter with matched EVSE data35 956 2,394 2645 2987 2911 3200 3762

EV Project – Volt Operations Trends • Average quarterly increases in miles per day and per g q y p y p

charge have decreased most recently

Chevy Volt Driver Operations Behavior

35

40

45y p

20

25

30

Avg Trip Distance ‐MilesAvg Miles per dayAve Trips Between Charges

5

10

15

Ave Trips Between ChargesAve Miles per ChargeAve # Charges per Day

Number of Volts reporting each quarter with matched EVSE data

0

4th 2011 1st 2012 2nd 2012 3rd 2012 4th 2012

20

Number of Volts reporting each quarter with matched EVSE data45 317 408 809 1021

EV Project – Volt Charging Location Trends• 3% increase in home charging and 1% decrease in non-% g g %

home charging as a revenue model is introduced

Ch V lt D i Ch i B h i

80%

90%

100%Percent home charging

Percent away from home charging

Percentunknown locations

Chevy Volt Driver Charging Behavior

50%

60%

70%Percent unknown locations

20%

30%

40%

0%

10%

4th 2011 1st 2012 2nd 2012 3rd 2012 4th 2012

21

Number of Volts reporting each quarter with matched EVSE data45 317 408 809 1021

EV Project – Residential EVSE L2 Use Trends • Continued gradual increases in time vehicles connected g

per charge and in AC KWh transferred per charge event

Residentiial EVSE Infrastructure Use Trends

20.0

22.5

25.0Ave Hrs Vehicle Connt R2 WDAve Hrs Vehicle Connt R2 WEAve Hrs Vehicle Draw KW R2 WDAve Hrs Vehicle Draw KW R2 WE

Residentiial EVSE Infrastructure Use Trends

10 0

12.5

15.0

17.5 Ave Hrs Vehicle Draw KW R2 WEAve AC KWh/charge Event R2 WDAve AC KWh/charge Event R2 WE

2.5

5.0

7.5

10.0

Number of Residential EVSE Level reporting each quarter

0.0

2.5


22

Number of Residential EVSE Level reporting each quarter35 955 2413 2704 3324 3338 4020 4819

Residential EVSE Level 2 = R2, Weekend = WE, Weekday = WD

EV Project – Public EVSE L2 Use Trends • Increases in kWh per charge and time energy is drawnp g gy• Average time vehicle connected appears to be rising this

last quarter Non-Residential EVSE Infrastructure Use Trends

9

10

11

12 Ave Hrs Vehicle Connt P2 WDAve Hrs Vehicle Connt P2 WEAve Hrs Vehicle Draw KW P2 WDAve Hrs Vehicle Draw KW P2 WEA e ACKWh/charge E ent P2 WD

Non-Residential EVSE Infrastructure Use Trends

5

6

7

8Ave AC KWh/charge Event P2 WDAve AC KWh/charge Event P2 WE

1

2

3

4

5

Number of Public EVSE Level reporting each quarter

0

1

3rd 2011 4th 2011 1st 2012 2nd 2012 3rd 2012 4th 2012

23

Number of Public EVSE Level reporting each quarter170 438 955 1483 1818 1988

Public EVSE Level 2 = P2, Weekend = WE, Weekday = WD

EV Project – EVSE Infra. Summary Report• Percent of public L2 EVSE deployed is now 30% of all L2 p p y %

EVSE

90%

100%Percent Residential & Public EVSE of Total Number of EVSE

40%

50%

60%

70%

80%

Percent Res

Percent Pub

0%

10%

20%

30%

40%

Percentage AC MWH & Charge Events - Public and Residential EVSE0%1st 2011 2nd 2011 3rd 2011 4th 2011 1st 2012 2nd 2012 3rd 2012 4th 2012

70%

80%

90%

100%

Percent Res AC MWH

PercentPub AC MWH

g g

• As measured by kWh use and number of

30%

40%

50%

60%Percent Pub AC MWH

Percent Res Charge Events

Percent Pub Charge Eventscharge events, revenue model may be decreasing public L2

240%

10%

20%


EVSE use

EV Project Public L2 EVSE Usage end of 2012• Contribution of Car Sharing Fleets is significant

All territoriesVehicles Charged Car sharing fleet Nissan Leaf Chevrolet Volt Unknown

• Contribution of Car Sharing Fleets is significant

Vehicles Charged Car sharing fleet Nissan Leaf Chevrolet Volt Unknown

Percent of charging events 25% 21% 5% 49%

Percent of kWh consumed 38% 17% 3% 41%

San DiegoVehicles Charged 300 Car2Go fleet Nissan Leaf Chevrolet Volt Unknown

Percent of charging events 59% 16% 2% 23%e ce t o c a g g e e ts 59% 6% % 3%


Oregon (Car2Go in Portland)V hi l Ch d 30 C 2G fl t Ni L f Ch l t V lt U kVehicles Charged 30 Car2Go fleet Nissan Leaf Chevrolet Volt Unknown

Percent of charging events 5% 29% 4% 61%


25

EV Project – EVSE Infra. Summary Report• National Residential and Public Level 2 Weekday EVSE

th4th Quarter 2012• Residential and public connect time and energy use are

fairly opposite profiles. Note different scalesNational Residential Connect Time National Public Connect Time

National Public DemandNational Residential Demand

26

EV Project – EVSE Infra. Summary Report• Residential Level 2 Weekday EVSE 4th Quarter 2012y• San Diego and San Francisco, with residential L2 TOU

rates, are similar to national and other regional EVSE connect profiles

Los AngelesSan Diego

Washington StateSan Francisco

27

EV Project – EVSE Infra. Summary Report• Residential Level 2 Weekday EVSE 4rd Quarter 2012y Q• TOU kWh rates in San Diego and San Francisco clearly

impact when vehicle charging start times are setLos AngelesSan Diego Los AngelesSan Diego

Washington StateSan Francisco

28

EV Project – EVSE Infra. Summary Report• DC Fast Chargers Weekday 4th Quarter 2012g y Q• 54 DCFCs connected and demand profiles

Weekday Connected Profile• 1.9 average charge

t d DCFCWeekday Connected Profile events per day per DCFC• Leafs 43% charge events

and 45% energy• Unknowns other charge

events and energy• 19.3 minutes average

Weekday Demand Profile

gtime connected

• 19.3 minutes average time drawing energytime drawing energy

• 7.2 kWh average energy consumed per charge

29

L2 Access Fees Structure4th Q t i fi t id d i l t ti f i l• 4th Quarter is first widespread implementation of simple and low cost access fees

• Blink member– Affiliate credit card with free Blink RFID “In Card”– Level 2 access fee of $1.00 per hour of connect time

• Guest No Blink RFID “In Card” required• Guest - No Blink RFID In Card required– Guest Code using quick reservation code or website– Level 2 access feel of $2.00 per hour of connect time

• Future pricing – Pricing to reflect regional electricity rates– Cover electricity costs in all cases– Cover electricity costs in all cases

30

DC Fast Charge (DCFC) Fees StructureE DCFC ith i iti l f h i• Encourage DCFC use with initial free charging

• Implement DCFC access fees by region in 1st Quarter 2013 with beta testing currently underway

• Initial fee structure simple and low cost– Accommodate varying vehicle charge rates

Accommodate select limitation of charging output– Accommodate select limitation of charging output power

• Blink member$2 h li i d $ 00 i– $25 per month unlimited use or $5.00 per session

• Guest – $8.00 per session$8.00 per session

31

• Permit timeliness has not been a problemResidential Lessons Learned• Permit timeliness has not been a problem• Majority are over-the-counter• Permit fees vary significantly- $7.50 to $500.00

32

• Average residential installation cost ≈$1 375Residential Lessons Learned• Average residential installation cost ≈$1,375• Individual installations vary widely• Some user bias to lower costs

33

• ADA significantly drives costCommercial Lessons Learned

ADA significantly drives cost– Accessible charger– Van accessible parking– Accessible electric and– Accessible electric and

passage routes to facility• Permit fees and delays can

are significantare significant– Load studies– Zoning reviews

34

Commercial Lessons Learned• Commercial permits range $14 to $821• Commercial permits range $14 to $821

35

• Demand and energy costsCommercial Lessons Learned

Demand and energy costs are significant for some utilities

– 25¢/kWh25¢/kWh– $25/kW

• Some utilities offer commercial rates withoutcommercial rates without demand charges

• Others incorporate 20 kW to 50 kW demand thresholds50 kW demand thresholds

• Nissan Leaf is demand charge free in some electric utility service territoriesutility service territories

36

Recurring Nissan Leaf DC fast charge demand chargesCommercial Lessons Learned• Recurring Nissan Leaf DC fast charge demand charges

are significant in many utility service territories

37

ChargePoint America ARRA Project

• Conducted by Coulomb• Project to Dec. 2012• 3,908 EVSE installed

and reporting datap g– 1,763 Residential– 193 Private /

commercialcommercial– 1,940 Public– 12 unknown

• 760,995 charge events• 5,359 AC MWh

38

ChargePoint America ARRA Project• Oct - Dec 2012 data• 3,541 units• Percent time vehicle

connectedconnected• Residential 47%• Private/com 24%• Public 9%

• Percent time drawing powerpower• Residential 9%• Private/com 5%

P bli 4%• Public 4%• EVSE data only

39

ChargePoint America: Oct – Dec. 2012Public Connect Time Commercial Connect Time Residential Connect Time

Public Demand Commercial Demand Residential DemandPublic Demand Commercial Demand Residential Demand

• Public is open access. Commercial are limited access• Public and commercial reflect at work charging• Residential reflects end of day return-to-home charging

40

Residential reflects end of day return to home charging• Note difference in scales

EVSE Testing• AC energy consumption 60

70

80

EVSE AC W Consumption Prior to Charge

EVSE AC WConsumption During Charge

EVSE AC Watt Consumption Prior to & During Chevy Volt Charging

gy pat rest and during Volt Charging benchmarked

• Steady state charge 10

20

30

40

50EVSE AC W Consumption During Charge

y gefficiency benchmarked 0

See http://avt.inel.gov/evse.shtml for individual testing fact sheets

EVSE Efficiency During Steady State Charge • Most EVSE consume

98.00%

98.50%

99.00%

99.50%

100.00% • Most EVSE consume 13 W or less at rest. Higher watt use tied to more EVSE features

96.00%

96.50%

97.00%

97.50%

• Most EVSE under 30 W during charge

• Most EVSE 99+%

41See http://avt.inel.gov/evse.shtml for individual testing fact sheets

Most EVSE 99+% efficient during steady state charge of a Volt

Hasetec DC Fast Charging Nissan Leaf• 53.1 AC kW peak grid powerp g p• 47.1 DC kW peak charge power to Leaf energy storage

system (ESS)• 15.0 Grid AC kWh and 13.3 DC kWh delivered to Leaf ESS15.0 Grid AC kWh and 13.3 DC kWh delivered to Leaf ESS• 88.7% Overall charge efficiency (480VAC to ESS DC)

42

Conductive System Benchmarking

43

Entire report can be found at: http://avt.inel.gov/pdf/phev/EfficiencyResultsChevroletVoltOnBoardCharger.pdf

Additional Testing• Initiated field and lab DC Fast Charge and Level 2 charging g g g

study of impacts on battery life in 6 Nissan Leafs– Two vehicles driven on road and L2 charged

Two driven identical routes DCFC charged– Two driven identical routes DCFC charged– One L2 and 1 DCFC in battery lab– At 10k miles each vehicle similar minimal capacity fade

• INL conducting with the NFPA and US DOT, PEV traction battery fire demonstrations and suppression project

• INL initiated ~400 New York EVSE data collection withINL initiated 400 New York EVSE data collection with NYSERDA, NYPA, Port Authority of NY/NJ, and Energetics

• INL initiated DOE’s wireless charging test program

44

Summary• EV Project vehicles connected much longer than needed j g

to recharge - opportunities to shift charging times• Significant residential Level 2 EV Project charging occurs

off-peak with charge-starts at midnight per TOU ratesoff peak with charge starts at midnight per TOU rates indicates consumers are price sensitive

• Revenue models for public charging are currently being introduced – long term impacts?introduced long term impacts?

• Only about 60% of EV Project data collected to date• DCFC charge events have significant demand impacts

b t this is an electric tilit polic decisionbut this is an electric utility policy decision• How, where, when we measure EVSE and vehicle system

charging efficiencies results in significantly different ltresults

45

AcknowledgementThis work is supported by the U.S. Department of

Energy’s EERE Vehicle Technologies Program

g

More Informationhttp://avt.inl.gov

This presentation will be posted in the publications section of the above website

46

INL/MIS-13-28453

Documents

U.SfS. Department of Energy’s Vehicle Technologies Program · U.SfS. Department of Energy’s Vehicle Technologies Program ... Leafs Volts Total Vehicles Smart Evs EV Project Leafs,Smart