Index

grid, 108 Adaptive energy management strategy, 40 Add-on devices, 269 Advanced driver assistance systems (ADAS), 176, 178 Aerodynamic drag, 267, 268, 273, 275 Aerodynamics, 267, 268, 274 Algorithms, shortest path A* search, 182, 183 Bellman-Ford, 182 bidirectional search, 184, 185 Dijkstra's, 180, 181 Floyd-Warshall, 183, 184 Hybrid RRT-PRM, 189-192 PRM (Probabilistic Roadmap), 187-189 RRT (Rapidly Exploring Random Tree), 185-187 Alternative phase opposition disposition (APOD), 340 Analog to digital conversion, 205, 213, 214 ANSYS Fluent (CFD software), 267, 273 Anti-theft locking system, 260, 261 Applications in EV safety and performance, 282, 283, 285, 286, 290-292 Arduino IDE, 257 ARM Cortex-M3, 202, 211 Artificial intelligence components of smart charging, 74 cloud computing platforms, 77, 78 communication protocols, 79-81 control algorithms for dynamic charging, 81-83 edge computing platforms, 78, 79 sensors and IoT devices, 75, 76 optimizing the infrastructure, 65 demand prediction, 65 dynamic pricing, 65 grid integration, 66 load balancing, 65 predictive maintenance, 66 route planning, 66 user experience enhancement, 66 Artificial neural network (ANN) controller, 33-39 for power regulation, 29 vs. PI controller, 37-39 Automotive safety integrity level (ASIL), 230 Autonomous driving, 178 Battery and power management, 323, 327, 328 Battery charging/storage, 233, 235, 236, 238, 239 Battery electric vehicles (BEVs), 226, 243, 244, 251 Battery energy storage system modeling, 32, 33 state of charge (SOC), 32, 33 support for long-term fluctuations, 39 Battery energy storage system, 3, 4, 20-24 Battery longevity, 192 Battery management system (BMS), 195, 197, 226, 229, 230, 282-287, 289-291 Battery model, 114 Battery swapping stations, 98 Bearing fault, 137-152 Bicycle design, 313, 316, 319 Bidirectional CLLC resonant converter, 158 Bidirectional DC-DC converter, 31-33 Bidirectional search algorithm, 184, 185 Binomial distribution, 44, 47 Biomechanics, 316, 327 Block diagram of hybrid control mode, 167 Blockchain IoT (reference), 193 Blynk IoT app, 231, 239 Boost converter, 4, 9, 235, 238, 256, 259 Boundary conditions, 272, 273 Buck converter, 4, 233, 235, 238 Camera system, 256, 260, 262 Carrier signal, 339, 340, 342, 343 Cascaded H-bridge (CHB), 339 CFD analysis, 267, 268, 271, 272 Challenges in fault detection, 303 Charging infrastructure, 41, 42 connectivity, 177, 178 mart grid interaction, 179 vehicle-to-grid (V2G), 178, 180 Charging port reliability, 42-44 Chassis (vehicle design), 255, 262 Clamping diodes, 337, 339, 341, 346, 347 Code Composer Studio and JTAG, 212 Comparative analysis, 303, 304 Conclusion and future impact, 173 Conduction losses, 347 Constant current, 11 Constant voltage, 10, 11 Constant-current and constant-voltage charging phases, 166 Consumer comfort, 175, 180 Control algorithms, 323, 327 Control strategies ANN controller, 33-39 PI controller, 33-38 Cost analysis, 326, 328 Cost benefit, 244, 250 Cost function of port configuration, 45, 53 Cost per kilometer, 243, 244, 251 Current and vibration, 137, 140-142, 151, 152 Current integrating technique, 32 Daubechies wavelet function, 144 DC bus voltage regulation, 36-39 DC microgrid architecture, 30, 31 energy management, 35, 36 DC-DC converter, 338 Deep learning, 115 Deep neural network, 141, 146 Demand response, 179 Demand response management, 72-74 Deployment factors, 62 Design and engineering, 316, 327 Design specifications, 169 Digital signal controllers (DSCs), 199, 204, 207 Digital signal processing (DSP), 215, 216 Dijkstra's algorithm, 180, 181 Diode bridge rectifier, 234, 235 Direct memory access (DMA), 205 Distributed generation (DG), 92 Doubly fed induction generator (DFIG), 98 Drag coefficient (Cd), 273, 278 Drag force, 278 Drive cycle, 245 Drive train, 249 10.1002/9781394288342.index, Downloaded from https://onlinelibrary.wiley.com/