E 4 T AVERE 12/09/2018. Fabrice LE BERR Cyprien TERNEL Maxime PASQUIER

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E 4 T ETUDE ENERGETIQUE, ECONOMIQUE ET ENVIRONMENTALE DU SECTEUR TRANSPORT Cross analysis of energetic, economic and environmental impact of electrification on transportation sector AVERE 12/09/2018 Fabrice LE BERR fabrice.le-berr@ifpen.fr Cyprien TERNEL cyprien.ternel@ifpen.fr Maxime PASQUIER maxime.pasquier@ademe.fr 1

CONTEXT https://www.bloomberg.c om/news/articles/2017-05-22/move-over-teslaeurope-s-building-its-ownbattery-gigafactories CO 2 emission reduction Pollutant emission reduction Towards electric car boom? New opportunities for electrification : 48V network, charging infrastructures 2 2016 I F P E N Transportation Electrification : a necessary and irremediable evolution BUT how to make it an optimal solution for the planet?

OBJECTIVES To develop recommendations on technology choices based on mobility needs by 2030 based on environmental and economic criteria To provide answers to many outstanding questions around electrification What electrification benefits on vehicle energy consumption, especially in real conditions? What economic impacts on users? What environmental impacts in a global analysis? What impacts on Lithium supply? Today Future (2030) 3 2016 I F P E N

Transportation segmentation Urban vehicle (A) Medium class vehicle (C) Upper class vehicle (D) Commercial vehicle Bus Urban delivery HD Long haul HD Hybridization and electrification impact has been evaluated for each segmentation 4 2016 I F P E N

ELECTRIFIED POWERTRAIN CLASSIFICATION MHEV : Mild Hybrid Electric Vehicle (48V) HEV : Hybrid Electric Vehicle (Full / high voltage) PHEV : Plug-in Hybrid Electric Vehicle EREV : Extended Range Electric Vehicle EV : Electric Vehicle ICE Re-inforced Starter Micro Mild Full PHEV EREV EV Stop&Start Extended S&S ICE assistance Brake recovery Full electric mode Extended electric mode Network charging ZEV capabilities (km) 0 0 to 0,5 0,2 to 3 50 50 200 to 500 Electric power (kw) ~1 to2 10 to20 20 to60 40 to110 50to 125 50 to300 Batt. energy (kwh) 0,5 to1 0,5 to1 1 to2 5 to16 5 to16 24 to Voltage (V) 12 48 350 350 350 350 5 2016 I F P E N

TYPE OF ELECTRIFICATION PER VEHICLE SEGMENT M O B I L I T É D U R A B L E Urban vehicle Gasoline vehicle MHEV 48V Extended Range EV (EREV) BEV Mid class vehicle Gasoline & Diesel vehicles (S&S) MHEV 48V Parallel HEV & PHEV Power split HEV & PHEV BEV Upper class vehicle Gasoline & Diesel vehicles (S&S) MHEV 48V Parallel HEV & PHEV Power split HEV & PHEV BEV Commercial vehicle Diesel vehicle MHEV 48V PHEV BEV 6 2016 I F P E N

VÉHICULES PAR SEGMENT M O B I L I T É D U R A B L E Bus Diesel vehicle Parallel HEV Serial HEV BEV Delivery HD Diesel vehicle Parallel HEV Serial HEV BEV Long haul Diesel 7 2016 I F P E N 35 modelled vehicles to decline for 2 time horizons (today and 2030)

Vehicles characteristics 2030 hypotheses (compared to today) M O B I L I T É D U R A B L E Light Duty vehicle Heavy duty Long haul 2030 Mass reduction < 5 % 16,6 % 15.6 % Aerodynamic drag reduction 10 % 15 % 25 % Rolling coefficient reduction 20 % 20% 20 % Sources : Heavy Duty Vehicles Technology Potential and Cost Study final Report for the International Council on Clean Transportation (ICCT) by Ricardo 2017 8 2016 I F P E N

Electric system 2030 hypotheses (compared to today) M O B I L I T É D U R A B L E IFPEN MAVEL SA350 electric motor Chevrolet bolt 60kWh battery pack Electric motor Power electronics Battery Power density x2 x2,5 Power density x1,5 Energy density x2 9 2016 I F P E N

2015 2030 hypotheses on Internal Combustion Engine (peak efficiency) ICE peak efficiency M O B I L I T É D U R A B L E Light Duty vehicle Heavy duty Long haul Gasoline engine 36% -40% 46% - - Diesel engine 39% -41% 48% 42% 49% 45% 52% 10 2016 I F P E N Sources : - Guenter Fraidl-AVL List GmbH SAE 2015 - ARGONE National laboratory-assessment of Vehicle Sizing, Energy Consumption, and Cost through Large-Scale Simulation of Advanced Vehicle Technologies (mars 2016) - Concertation experts IFPEN

Other hypotheses M O B I L I T É D U R A B L E French hypotheses on electricity production mix (nuclear based) on fuel & electricity prices Brent: 50 $/bbl Gasoline: 1.32 /l Diesel fuel: 1.23 /l Electricity: 0.120 /kwh on incentives (6 000 euros for EV today in France) Simulation protocol HEV : sustaining mode PHEV : depleting mode, then sustaining mode Light duty vehicles : Homologation driving cycles Real driving cycles Other vehicles : real driving cycles Batterystate of charge depleting sustaining time 11 2016 I F P E N

WHY AN ECONOMIC ANALYSYS? Technology cost is the most important lock towards massive market! CO 2 emissions reduction Trade-off «Cost/CO 2» for the hybrid technologies Source : PFA -CTA : perspectives de croissance des chaînesde traction automobile Technology overcost( ) compared to conventional thermal powertrain v 12 2016 I F P E N

TOTAL COST OF OWNERSHIP (TCO) Investment Fiscal incentive Sale Fuels price Fuel consumption Maintenance Insurance TCO = Investment ( ) + discounted expenditure ( ) discounted annual mileage (km) Annual mileage, by vehicle/technology Possession duration 13 2016 I F P E N

LIFE CYCLE ANALYSIS To evaluate and analyze, with a global and complete method, the environmental impacts (GHG, pollutants ) of transport solutions (electrification ) for nowadays and for the future! Functional unit : Vehicle life cycle (from cradle to grave) to move 1 person on 1 km or To move 1 kg on 1 km 14 2016 I F P E N Energy life cycle (from well to wheel)

URBAN VEHICLES - 2030 M O B I L I T É D U R A B L E conso [l/100km] Fuel consumption (l/100km) 12 10 8 MHEV 6 48V Grid electricity consumption conso grid[kwh/100km] (kwh/100km) consommations carburant du segment A fonction de la vitesse moyenne des cycles Gasoline vehicle 4 2 0 0,0 10,0 20,0 30,0 40,0 50,0 60,0 70,0 80,0 90,0 100,0 v_moy_cycle [km/h] Mean speed (km/h) consommations électrique-réseau du segment A fonction de la vitesse moyenne des cycles 25 20 BEV/PHEV 15 10 5 0 0,0 10,0 20,0 30,0 40,0 50,0 60,0 70,0 80,0 90,0 100,0 v_moy_cycle [km/h] A_VTH_2015 A_VMH_G_2015 A_VHREX_2015 - depleting A_VE_2015 A_VTH_2015 A_VMH_G_2015 A_VHREX_2015 - depleting A_VE_2015 A_VTH = Gasoline vehicle A_VMH_G = MHEV 48V A_VHREX = EV with Range extender A_VE = EV 1050 masses citadines 2030 [kg] Vehicle mass (kg) VTH_essence VEH_BT_essence VHR_Rex VE 1084 1134 1129 15 2016 I F P E N

URBAN VEHICLES 2030 12 000 km/year 10 years Urban driving cycle TCO vs time of possession (present time) 16 2016 I F P E N With battery cost reduction, BEV would be economically profitable in 2030 without incentive but probably highly challenged with future low cost hybrid systems.

LCA FOR URBAN VEHICLES BEV & PHEV : Best solutions! but PHEV results are sensitive to charging profiles & driving cycles BEV results are sensitive to battery size (total range) Potential impacts on Climate Change /person.km (WLTC -2015 & 2030) 17 2016 I F P E N BEV & PHEV results are sensitive to electricity production mix

conso [l/100km] Fuel consumption (l/100km) 12 10 Diesel 8 vehicle & MHEV 48V 6 Fuel consumption conso [l/100km] (l/100km) 4 2 18 2016 I F P E N MID SIZE VEHICLES Power split HEV consommations carburant du segment C fonction de la vitesse moyenne des cycles 0 0,0 10,0 20,0 30,0 40,0 50,0 60,0 70,0 80,0 90,0 100,0 12 10 8 6 4 2 MHEV + HEV Gasoline vehicle v_moy_cycle [km/h] 0 0,0 10,0 20,0 30,0 40,0 50,0 60,0 70,0 80,0 90,0 100,0 v_moy_cycle [km/h] C_VTHD_2015 C_VMH_D_2015 C_VTHG_2015 C_VMH_G_2015 C_VFH_P2_2015 C_VFH_prius_2015 consommations carburant du segment C fonction de la vitesse moyenne des cycles Conventional vehicles Mean speed (km/h) Mean speed (km/h) Parallel HEV Today 2030 C_VFH_plugin_P2_2015 - depleting C_VFH_plugin_prius_2015 - depleting C_VTHD_2030 C_VMH_D_2030 C_VTHG_2030 C_VMH_G_2030 C_VFH_P2_2030 C_VFH_prius_2030 C_VFH_plugin_P2_2030 - depleting C_VFH_plugin_prius_2030 - depleting M O B I L I T É D U R A B L E Véhicules segment C - moyenne gamme C_VTHD = Disel conventional vehicle(s&s) C_VTHG = Gasoline conventional vehicle(s&s) C_VMH_D = Diesel MHEV (P0) C_VMH_G = Gasoline MHEV (P0) C_VFH_P2 = Parallel HEV C_VFH_prius = Power split HEV C_VFH_plugin_prius = Power split PHEV C_VFH_plugin_P2 = Parallel PHEV C_VE = BEV Vehicle mass (kg) Today masses moyenne gamme 2015 [kg] VTH_essence VTH_diesel VEH_BT_essence VEH_BT_diesel VEH_HT_P2 VHR_P2 VEH_HT_Prius VHR_Prius VE 1505 1514 1539 1548 1610 1668 1608 1697 1786

MID SIZE VEHICLES 15 000 km/year 10 years Cycle: WLTC Without incentive, PHEV are less competitive Nowadays BEV is profitable with 6000 incentive but with reasonable battery size! (cf. TCO & investment) 2030 BEV would the most profitable powertrain with no incentive 19 2016 I F P E N

LCA FOR MID SIZE VEHICLES BEV & PHEV : Best solutions! but PHEV iresultsare sensitive to charging profiles & driving cycles BEV results are sensitive to battery size (total range) Potential impacts on Climate Change /person.km (WLTC -2015 & 2030) 20 2016 I F P E N BEV & PHEV results are sensitive to electricity production mix

TCO / LCA FOR MID SIZE VEHICLES GHG emissions and TCO for light duty midsize cars for WLTC cycle, 2015 and 2030 CO2 emissions emitted by ICEVs decrease between today and 2030, whereas their TCO raise 21 2016 I F P E N The powertrain electrification offers higher gains, even with mild-hybrid or full-hybrid vehicles In French context, Alternative powertrain technologies (PHEVsand BEVs) exhibitlower lifecycle GHG emissions than ICEVs but do not necessarily cost the consumer more

BUS 40 000 km/an 12 ans Bus 2015 2030 Infrastructure cost Infrastructure cost 22 2016 I F P E N Short term : hybridization already a profitable solution Long term : electric buses for zero emission capabilities

LCA FOR BUSES GHG impact (2030) Hybridization : a relevant transition toward all electric buses (good compromise between TCO and GHG emissions) BEV : best solution in terms of GHG (and local pollutants) 23 2016 I F P E N

LONG HAUL VEHICLE M O B I L I T É D U R A B L E Fuel consumption [l/100km] 50 45 40 35 30 25 20 2015 2030 15 0 10 20 30 40 50 60 70 80 90 Mean driving speed [km/h] Fuel consumption reduction = around 30 %on various driving cycles (similar to ICCT Ricardo values) 24 2016 I F P E N Source : ICCT -Ricardo

CONCLUSIONS & PERSPECTIVES Conventional vehicles Nowadays, still the most affordable solution in terms of investment but will be highly challenged with hybrid and electric vehicles in terms of TCO in the future and cannot be the answer to future challenges to reduce CO2 emissions and pollutants Power split HEV Best hybrid vehicle! For all the using conditions (notably urban) Will be challenged by MHEV & PHEV in 2030 Best vehicles for the TCO (2030) : MHEV 48V Electric vehicles with reasonable battery size (range : 200-250 km) and high mileage 25 2016 I F P E N Best vehicles for the environment (with low carbon energy mix) : PHEV if correctly used (regularly recharged) Electric vehicles with reasonable battery size (range : 200-250 km) and high mileage

Retrouvez-nous sur : www.ifpenergiesnouvelles.fr @IFPENinnovation 26 2016 I F P E N