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Preface of the Operating Agent |
6 |
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System Optimization—The Key to Success |
6 |
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Contents |
8 |
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Contributors |
9 |
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Abbreviations and Nomenclature |
11 |
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List of Figures |
14 |
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List of Tables |
20 |
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1 Introduction |
22 |
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Abstract |
22 |
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1 The Need for Sustainable Mobility |
22 |
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1.1 Timeline—History of EVs |
25 |
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1.2 Task 17—System Optimization and Vehicle Integration |
29 |
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1.2.1 Scope of Task 17 |
30 |
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1.2.2 Impacts of Task 17 |
31 |
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1.2.3 Working Methods of Task 17 |
31 |
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References |
35 |
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2 OEM and Industry Review—Markets, Strategies and Current Technologies |
36 |
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Abstract |
36 |
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1 OEM Markets |
37 |
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1.1 China |
37 |
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1.2 United States |
39 |
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1.3 Japan and Korea |
40 |
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1.4 European Union |
41 |
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2 OEM Strategies |
42 |
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2.1 Build Your Dream |
42 |
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2.2 General Motors |
43 |
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2.3 Hyundai and Kia |
43 |
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2.4 Renault |
44 |
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2.5 VW and Audi |
45 |
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3 OEM—Key Messages |
46 |
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4 Current Status of Low-Carbon Vehicle Technologies (2013–2015) |
46 |
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4.1 Technology Extreme—Conventional ICE Vehicles |
47 |
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4.2 Technology Extreme—Battery Electric Vehicles (BEVs) |
48 |
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4.3 Hybrid Vehicles (HEVs) Technology—Between ICE and BEV |
54 |
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4.3.1 Plug-in Hybrid Electric Vehicles (PHEVs) |
58 |
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4.4 Fuel Cell Electric Vehicles (FCEVs) |
60 |
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5 Comparison of Different Vehicle Specifications |
62 |
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5.1 Cost Factor |
62 |
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5.2 Durability |
63 |
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5.3 Energy and Power Density |
63 |
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5.4 Efficiency |
63 |
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5.5 Safety |
64 |
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References |
65 |
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3 International Deployment and Demonstration Projects |
67 |
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Abstract |
67 |
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1 Worldwide Incentives for EVs |
68 |
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1.1 Direct Subsidies |
70 |
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1.2 Fiscal Incentives |
71 |
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1.3 Fuel Cost Savings |
72 |
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2 International Deployment and Demonstration Projects |
73 |
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2.1 Development Plan for EVs in China (2011–2020) |
73 |
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2.2 Taiwan |
78 |
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2.3 United States: The ‘EV Project’ and ‘EV Everywhere’ |
79 |
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2.4 European Union |
81 |
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References |
83 |
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4 Advanced Vehicle Performance Assessment |
85 |
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Abstract |
85 |
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1 Vehicle Technology Introduction |
86 |
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1.1 Toyota G3 Prius HEV |
86 |
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1.2 Hyundai Sonata HEV |
87 |
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1.3 Ford Fusion HEV |
88 |
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1.4 Chevy Volt PHEV |
88 |
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1.5 Nissan Leaf BEV |
88 |
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2 HEV Results (Sonata, Fusion, and Prius, CS Mode Volt) |
88 |
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2.1 Introduction to Configurations |
89 |
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2.2 Fuel Economy Results |
90 |
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2.3 Engine on-off Capability |
90 |
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2.4 Engine Utilization |
93 |
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2.5 Regen |
93 |
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2.6 Improving Efficiency with Improved Thermal Management |
94 |
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3 Electric Vehicle Operation Comparison (Chevy Volt in EV Mode and Nissan Leaf BEV) |
96 |
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3.1 Configuration Comparison |
96 |
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3.2 Operational Differences |
96 |
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3.3 Battery Utilization and Recharge Efficiencies |
96 |
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3.4 Electric Powertrain Efficiency Comparisons |
98 |
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4 Auxiliary Loads HEV, PHEV, and BEV |
99 |
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4.1 Standby Auxiliary Losses |
99 |
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4.2 Hot and Cold Temperatures |
99 |
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5 Conclusions |
101 |
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6 Future Trends |
102 |
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6.1 Future HEVs |
102 |
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6.2 Future PHEVs |
103 |
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6.3 Future BEVs |
104 |
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References |
104 |
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5 System Optimization and Vehicle Integration |
106 |
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Abstract |
106 |
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1 System Optimization and Vehicle Integration |
108 |
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2 Electric Motors |
109 |
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2.1 Introduction |
109 |
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2.2 PM Motors |
110 |
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2.3 Induction Motors |
110 |
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2.4 Switched Reluctance Motors |
111 |
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2.5 Conclusions and Future Work |
113 |
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3 Battery Management Systems in EVs |
113 |
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3.1 Description and Tasks of a BMS in an EV Application |
116 |
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3.2 SoC Determination Algorithm |
122 |
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3.3 SoH Determination Algorithm |
125 |
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3.4 Integration of BMS into the EV—State of the Art |
126 |
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3.5 Examples of Integrated BMS in EVs and HEVs |
129 |
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3.6 Technology Trends of BMS |
134 |
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3.7 BatPaC: A Li-Ion Battery Performance and Cost Model for Electric-Drive Vehicles |
137 |
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3.8 Selection of BMS Suppliers and Manufacturers |
141 |
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4 Thermal Management |
150 |
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4.1 Heating Technologies |
156 |
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4.2 Automotive Thermal Comfort by Valeo |
158 |
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4.3 Development of Nanofluids for Cooling Power Electronics by Argonne |
161 |
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4.4 Eko-Lack: Simulation and Measurement of an Energy Efficient Infrared Radiation Heating of a Full EV by AIT and Qpunkt GmbH |
165 |
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5 Simulation Tools—Overview of International Research Groups |
173 |
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5.1 CRUISE—Vehicle System Simulation (by AVL) |
173 |
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5.2 Autonomie (By Argonne National Laboratory) |
177 |
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5.3 Dymola/Modelica (By Austrian Institute of Technology—AIT) |
179 |
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6 Lightweight as Overall Method for Optimization |
181 |
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6.1 Vehicle Mass Impact on Efficiency and Fuel Economy |
182 |
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6.2 Functional and Innovative Lightweight Concepts and Materials for xEVs |
192 |
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7 Power Electronics and Drive Train Technologies as Overall Optimization Method |
202 |
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7.1 Reasons for an Increasing Amount of Software and Electronics |
203 |
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7.2 Electrified Drive Trains Leads to Increasing Complexity |
204 |
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7.3 Benefits Through Optimized Power Electronics and Drive Train Technologies |
207 |
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References |
219 |
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6 Final Results and Recommendations |
224 |
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Abstract |
224 |
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1 Batteries |
225 |
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2 Improvements by Thermal and Battery Management |
226 |
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3 Simulation and Virtual Vehicle |
226 |
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4 Lightweight Through Advanced Materials, Bionic Concepts and Functional Integration |
227 |
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5 Power Electronics and Drive Train Technologies Require New Software Concepts |
228 |
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6 Change Within the Automotive Value Chain |
229 |
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7 We Have to Change |
229 |
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References |
230 |
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