E-mobility and battery technology
Prof. Dr. ir. Joeri Van Mierlo
15/10/2015
Vrije Universiteit Brussel - MOBI 2
Overview
•
Societal challenges
•
E-mobility
•
How Green are Electric Vehicles?
•
How Affordable are Electric vehicles?
•
Battery developments
Vrije Universiteit Brussel - MOBI 3 Vrije Universiteit Brussel - MOBI 4
Vrije Universiteit Brussel - MOBI 7
Historic GHG emissions from transport
and targets for 2050 (EU27)
Based on White Paper – Roadmap to a Single European Transport Area Towards a competitive and resource efficient transport system
0
200
400
600
800
1,000
1,200
1990
2000
2010
2020
2030
2040
2050
CO2
em
issio
ns
fro
m
tr
ansp
or
t in
th
e
EU27
(
Mt
on
nes)
emissions 1990-‐2009
White Paper objectives
-‐20%
-‐60%
-‐95%
Vrije Universiteit Brussel - MOBI 8
Vrije Universiteit Brussel - MOBI 9
1 Billion Euro’s per Day
for import of Oil in Europe
Source: Fuelling EUROPE’S Future, 2013 Vrije Universiteit Brussel - MOBI 10
Strong foundations
1979 - Vrije Universiteit Brussel
2014 - Vrije Universiteit Brussel
Vrije Universiteit Brussel - MOBI
Mobi – VUB
Electromobility knowledge center in Flanders
– The Mobility, Logistics and Automotive Technology Research Centre (MOBI) is leader in defining the state-of-the-art in Electromobility and Socio-Economic Evaluations for sustainable mobility and logistics.
– The strength of MOBI resides in a unique combination of socio-economical, environmental & technical competencies, together with tools & assets specifically developed for the sustainable transport sector.
– MOBI has a long track record in the field of Electric and Hybrid vehicles and is internationally recognised for its vast experience and expertise related to battery research, power electronics, environmental assessments, socio-economic evaluations and standardisation.
– http://mobi.vub.ac.be
13 Vrije Universiteit Brussel - MOBI
Mobi – VUB
Electromobility knowledge center in Flanders
–
Excellent knowledge of the European electromobility
market
–
Expertise in
battery
development, battery management technologies
–
Experience in the grid integration of charging
infrastructure
and
Knowhow on the smart charging of electric vehicles
–
Expertise in
TCO
(Total cost of ownership),
LCA
(Life Cycle Assessment)
and purchase behaviour of clean vehicle technologies
–
Active participation in many
European projects
, eg. Batteries2020,
SuperLib, FiveVB, Syrnemo, Unplugged, Smart EV-VC, Go4SEM,
Opera4FEV
14
E-mobility
Vrije Universiteit Brussel - MOBI 16
Vrije Universiteit Brussel - MOBI 17 Vrije Universiteit Brussel - MOBI 18
Top 3 Barriers for EVs
Limited charging
infrastructure
Limited driving range
High purchase cost
Pag.
Range anxiety
–
95 to 99% trips <100km
–
30% vehicle fleet never >100km
–
Improved batteries: Specific energy (Wh/kg):
–
Plug-in hybrid (EV+range extender)
–
Wireless Dynamic inductive charging
19
Lead
Nickel
Lithium
2020
2030
30 – 35
50 – 80
80 – 200
400 - 600
1000 - 2000?
x2
x2
x3
x3
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Infrastructure needs
Where is your car during one week?
Home
Work
Vrije Universiteit Brussel - MOBI 21 Vrije Universiteit Brussel - MOBI
Infrastructure
22% buildings with
garages / Total #
buildings
% buildings with
garages / Total #
housing units
Charging infrastructure
Normal charging
(95%)
(overnight, cheap, availability, efficient)
Wireless inductive charging
Fast charging
(5%)
Charging infrastructure
Domestics
IEC 62196-2 type 3
French/Italian
IEC 62196-2 type 2
16A/63A 3f
IEC 62196-2 type 1
SAE J1772 Yazaki
Vrije Universiteit Brussel - MOBI
Charging stations in Brussels
Optimization
of spatial accessibility
Now
Op'mised
25Charging infrastructure
www.asbe.be
26 Pag.Electricity production and distribution
–
J
10% EVs = > +1.375%
extra electricity production
–
L
But potential extra
demand for electricity after
working hours
⇒
J
“Smart battery charging”
during off peak hours
27
–
Battery as storage solution?
⇒
opportunity to give
electricity back to the grid?
⇒
L
Impact on life expectancy
of battery
⇒
J
2
ndhand market for EV
batteries (still 80% original
capacity)
How Green are Electric vehicles?
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Life Cycle Assessment
Raw
materials
Production of
components
Assembly and
distribiution
Waste
Raw
materials
Refining and
transport
Distribution
Usage
Vrije Universiteit Brussel - MOBI
Ozone formation
Elementary
flows
Midpoint
impacts
Endpoint
Damages
Climate change AcidificationEutrophication Fossil fuel
depletion PM formation
Land use Human
toxicity
Radiation Eco toxicity
Ozone depletion
CO2, CH4, N2O, NOx, Cd, Benzene, iron ore, hard coal, land use, … and other elementary flows (emissions and resources)
Human
health
Ecosystem
Resource
availability
Single score
Mineral depletion Water useInventory
model
Raw materials Production of components Assembly and distribiution
Waste Raw materials Refining and
production Distribution Usage WTT Maintenance Production TTW Road infrastructure 33 FU: 209,470 km (14.1 years, 14,856 km/yr)
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Climate change
0,E+00
5,E-‐02
1,E-‐01
2,E-‐01
2,E-‐01
3,E-‐01
VW golf
petrol
VW golf
diesel
VW golf
LPG
Fiat Punto
CNG
auris HEV
Toyota
Ampera
Opel
PHEV
Nissan
leaf BEV
(2011)
CC
[kg
C
O
2
eq
/km
]
Road
Powertrain cycle
Vehicle cycle
TTW
WTT
Messagie, Maarten; Boureima, Faycal-Siddikou; Coosemans, Thierry; Macharis, Cathy; Van Mierlo, Joeri (2014) A Range-Based Vehicle Life Cycle Assessment Incorporating Variability in the Environmental Assessment of Different Vehicle Technologies and Fuels. ENERGIES Volume: 7 Issue: 3 Pages: 1467-1482 Ozone formation
Elementary
flows
Midpoint
impacts
Climate change AcidificationEutrophication Fossil fuel
depletion PM formation
Land use Human
toxicity
Radiation Eco toxicity
Ozone depletion
CO2, CH4, N2O, NOx, Cd, Benzene, iron ore, hard coal, land use, … and other elementary flows (emissions and resources)
Mineral depletion
Water use
Inventory
model
Raw materials Production of components Assembly and distribiution
Waste Raw materials Refining and
production Distribution Usage WTT Maintenance Production TTW Road infrastructure
Vrije Universiteit Brussel - MOBI 37
Life cycle air quality
!
Geographical & Temporal Reslution in LCA
Vrije Universiteit Brussel - MOBI
Vehicle
database
Parameterized LCI model
Monte Carlo
assessment
Vehicle
segmentation
Data fitting
0% 20% 40% 60% 80% 100% 0 0,02 0,04 0,06 0,08 0,1 0,12 970 1035.4 1100.8 1166.2 1231.6 1297 1362.4 1427.8 1493.2 D en sity Weight [kg]Parameterized vehicle-LCA model
38
Vrije Universiteit Brussel - MOBI
Ozone formation
Elementary
flows
Midpoint
impacts
Endpoint
Damages
Climate change AcidificationEutrophication Fossil fuel
depletion PM formation
Land use Human
toxicity
Radiation Eco toxicity
Ozone depletion
CO2, CH4, N2O, NOx, Cd, Benzene, iron ore, hard coal, land use, … and other elementary flows (emissions and resources)
Human
health
Ecosystem
Resource
availability
Single score
Mineral depletion Water useInventory
model
Raw materials Production of components Assembly and distribiution
Waste Raw materials Refining and
production Distribution Usage WTT Maintenance Production TTW Road infrastructure 39 FU: 209,470 km (14.1 years, 14,856 km/yr)
Vrije Universiteit Brussel - MOBI 40
Single score
Messagie, M., Boureima, F., Coosemans, T., Macharis, C., Van Mierlo, J. (2014) A Range-Based Vehicle Life Cycle Assessment Incorporating Variability in the Environmental Assessment of Different Vehicle Technologies and Fuels. ENERGIES Volume: 7 Issue: 3 Pages: 1467-1482
Vrije Universiteit Brussel - MOBI
Wind
turbines
BFG
Nuclear
Natural
gas
Hydro
run-off
river
Hydro
pumped
storage
Wood
41 Vrije Universiteit Brussel - MOBI
Hourly carbon footprint
of electricity production
in Belgium
Messagie, M., Mertens, J., Oliveira, L., Rangaraju, S., Sanfelix, J., Coosemans, T., Van Mierlo, J., Macharis, C. (2014) The hourly life cycle carbon footprint of electricity generation in Belgium, bringing a temporal resolution in life cycle assessment. Applied Energy Volume: 134C pp. 469-476 DOI: 10.1016/j.apenergy.2014.08.071
Yearly average:
190 g CO
2eq./kWh
Hourly fluctuations:
100 – 260 g CO
2eq./kWh
Vrije Universiteit Brussel - MOBI
Influence of the electricity mix
Messagie, M., Boureima, F., Coosemans, T., Macharis, C., Van Mierlo, J. (2014) A Range-Based Vehicle Life Cycle Assessment Incorporating Variability in the Environmental Assessment of Different Vehicle Technologies and Fuels. ENERGIES Volume: 7 Issue: 3 Pages: 1467-1482 43
How affordable are Electric Vehicles?
Vrije Universiteit Brussel - MOBI 45
TCO methodology
Vrije Universiteit Brussel - MOBI
Total Cost of Ownership (TCO)
•
Ownership
: 8 jaar en 45 dagen
•
Afgelegde afstand per jaar
: 15.284km
•
Depreciatie
•
Brandstof- en elektriciteitskosten
: €1.5959/l voor benzine, €1.4158/l
voor diesel, €0,1809/kWh voor elektriciteit en €0.87/kg voor CNG
•
Belastingen
–
Jaarlijkse verkeersbelasting
–
Eenmalige belasting op inverkeerstelling
•
Verzekeringen
–
Eerste 3 jaar omnium dan burgelijkaansprakelijkheid
•
Batterijkosten
(om de 6 jaar vervangen)
–
Prijs vervanging hangt af van de garantie
–
Leasing
•
Onderhoudskosten
46
Passenger cars – medium cars
TCO bedrijven – verschillen
•
Ownership
: 4 jaar
•
CO2 bijdrage
•
Fiscale aftrekbaarheid
–
EVs: 120% aftrekbaar
–
Andere technologieën: aftrekbaarheid varieert tussen 100% en
50% naargelang de CO
2uitstoot.
•
Voordeel van Alle Aard
•
Subsidie
–
20 % van de aanvaardbare investering, geplafonneerd op 3.000
euro
Vrije Universiteit Brussel - MOBI
Company cars – medium cars
49 Vrije Universiteit Brussel - MOBI
Company cars – premium cars
50
Vrije Universiteit Brussel - MOBI
EV cost reduction from battery improvements
SOURCE: Japan Automobile Manufacturers Association (JAMA); Oxford Economics; IEA; Press search; Team analysis 0,11 0,11 0,11 0,11 0,11 0,17 0,08 0,06 0,05 0,04 Battery Maintenance 0.21 0.02 0.02 Energy 2050 0.02 0.20 0.02 2030 0.34 0.24 2010 Body+drivetrain 0.02 0.03 2040 0.02 0.03 0.02 0.03 0.22 2020
Total cost of ownership, EUR/km, base case
51
Battery developments
Mobi’s Battery Innovation Centre
53
State-of-the-art Facilities and Models for Rechargeable Energy Storage Systems
•
Over 280 channels
•
9 climate chambers
•
Impedance spectroscopy channels
•
Thermal imaging equipment
•
Battery management systems
•
Battery, hybrid and supercapacitor models
•
State estimation techniques (SoC, SoH and SoF)
•
International standardization
MOBI’s Battery Innovation Centre
54
For traction and stationary applications
BMW, Scania, Continental (ex Siemens), CRF (Fiat), Bosch, AVL List,
Volvo trucks, Volvo cars, Toyota Motor Europe, Van Hool, Bombardier,
Umicore, Laborelec, Emrol, 4Esys, Siemens, PEC, Enersys, ON
Semiconductor, JSR micro, CTS, VITO, Flanders Make, MIVB and De Lijn.
Overview
55Lithium-ion batteries
Positive/negative electrode material Nominal cell voltage [V] Specific capacity Positive/negative [mAh/g]LiCoO2 (LCO) / graphite 3.7 120 / 370
LiMn2O4(LMO) / graphite 3.7 100 / 370
LiNiO2 / graphite 3.7 170 -180/ 370 LiNi1/3Mn1/3Co1/3O2 (NMC) / graphite 3.7 130 - 160 / 370 LiCo0.2Ni0.8O2 / graphite 3.7 200 / 370 LiNi0.8Co0.15Al0.05O2 (NCA) / graphite 3.7 180 / 370 LiFePO4 (LFP) / graphite 3.3 150- 160 / 370 LiFePO4 (LFP) / Li4Ti7O12 (LTO) 2.2 150 - 160 / 130-160 ! 56
Battery characteristics
0 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000 0 20 40 60 80 100 120 140 160 180 200 Power density (W/kg) Energy density (Wh/kg) LFP/C NCA/C LFP/LTO LMO/LTO NMC/C Cylindrical Prisma!c Pouch 57Battery characteristics
(charging)
0
10
20
30
40
50
60
70
80
90
100
110
0
500
1000
1500
2000
2500
3000
Remaining capacity (%)Number of cycles
1.25 It
2.5 It
4 It
7 It
10 It
58Cycle life ifo Working
temperature
0" 500" 1000" 1500" 2000" 2500" 3000" '20" '10" 0" 10" 20" 30" 40" 50" Cy cle "life " Temperature"[°C]"Ø
LFP, 2.3Ah battery type
Thermal management
% % ! ! ! ! ! ! ! !"#$%&'!!""#"$%&#%'()'%#*%+,(-.*.(/%+'01(%.2%/#-34(2'5(=*!+',-'&./%&'!0#1/%/#34!35'&!/6'! 2.//'&>!-.7?!9#/6!0#::'&'4/!-31#/#34!3:!/6'!7380!-8./'!./!/6'!'40!!3:!@</!0#176.&$'!&./'!!./!=ABC!3:!
#4#/#.8!.40!#48'/!/',-'&./%&'1!! ! !
Vrije Universiteit Brussel - MOBI 61
Doelstellingen van vooroplopende landen
m.b.t. energiedensiteit van Li-ion batterijen
voor EV
Fraunhofer ISI, 2013 Vrije Universiteit Brussel - MOBI
Schattingen van Li-ion batterijkosten voor EV gebruik
Ref: Nykvist & Nilsson, 2015 62
Vrije Universiteit Brussel - MOBI
Mass electrification of road transport
could be economic from 2020 onwards
2010 2020 2030 2040 2050
0.40
0.30
0.20 0.50
SOURCE: Japan Automobile Manufacturers Association (JAMA); Oxford Economics; IEA; Press search; Team analysis
Total cost of ownership for average passenger vehicle EUR/km
Electric
vehicles Internal combustion engine vehicles Initial application in
city cars and plug-in hybrids, due to high cost of long-range batteries Long-range electric vehicles could become economic, depending on battery cost
Cost of ICE vehicles depends on future oil price and additional CO2 cost
63 Vrije Universiteit Brussel - MOBI 64
EC forecast
To reach 4 million In fleet by 2020
Source: IMPACT ASSESSMENT - Proposal for a Directive on the deployment of alternative fuels infrastructure {COM(2013) 18}
Vrije Universiteit Brussel - MOBI 65 Vrije Universiteit Brussel - MOBI
Electrification:
1 mln. additional jobs in 2030 in EU
2 mln. additional jobs in 2050 in EU
66 Source: Fuelling EUROPE’S Future, 2013
Vrije Universiteit Brussel - MOBI 67
Prof. Joeri Van Mierlo
Phone +32 2 629 28 03 Email [email protected] Office Building Z (ZE109)
Pleinlaan 2, 1050 Brussels
mobi.vub.ac.be
twitter.com/MOBI_VUB