Modelling, Dynamics and Control of Electrified Vehicles provides a systematic overview of EV-related key components, including batteries, electric motors, ultracapacitors and system-level approaches, such as energy management systems, multi-source energy optimization, transmission design and control, braking system control and vehicle dynamics control. In addition, the book covers selected advanced topics, including Smart Grid and connected vehicles. This book shows how EV work, how to design them, how to save energy with them, and how to maintain their safety.
The book aims to be an all-in-one reference for readers who are interested in EVs, or those trying to understand its state-of-the-art technologies and future trends.
- Offers a comprehensive knowledge of the multidisciplinary research related to EVs and a system-level understanding of technologies
- Provides the state-of-the-art technologies and future trends
- Covers the fundamentals of EVs and their methodologies
- Written by successful researchers that show the deep understanding of EVs
Daugiau informacijos
Presents comprehensive knowledge of the multidisciplinary research related to EVs and a system-level understanding of technologies
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ix | |
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1 Modeling, Evaluation, and State Estimation for Batteries |
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1 | (38) |
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1 | (1) |
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2 | (6) |
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1.3 Evaluation of Model Accuracy |
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8 | (17) |
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25 | (9) |
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34 | (5) |
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35 | (4) |
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2 High-Power Energy Storage: Ultracapacitors |
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39 | (38) |
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39 | (6) |
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45 | (21) |
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66 | (3) |
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69 | (8) |
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70 | (7) |
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3 HESS and Its Application in Series Hybrid Electric Vehicles |
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77 | (44) |
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77 | (3) |
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3.2 Modeling and Application of HESS |
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80 | (35) |
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115 | (6) |
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117 | (4) |
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4 Transmission Architecture and Topology Design of EVs and HEVs |
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121 | (38) |
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121 | (4) |
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4.2 EV and HEV Architecture Representation |
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125 | (4) |
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4.3 Topology Design of Power-Split HEV |
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129 | (14) |
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4.4 Topology Design of Transmission for Parallel Hybrid EVs |
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143 | (14) |
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157 | (2) |
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157 | (2) |
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5 Energy Management of Hybrid Electric Vehicles |
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159 | (48) |
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159 | (2) |
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5.2 Energy Management of HEVs |
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161 | (21) |
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182 | (10) |
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5.4 Model Predictive Control Strategy |
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192 | (3) |
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195 | (3) |
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198 | (9) |
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198 | (9) |
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6 Structure Optimization and Generalized Dynamics Control of Hybrid Electric Vehicles |
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207 | (38) |
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207 | (1) |
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6.2 Generalized Dynamics Models |
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208 | (4) |
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6.3 Extended High-Efficiency Area Model |
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212 | (3) |
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6.4 Typicals Applications |
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215 | (26) |
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241 | (4) |
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243 | (2) |
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7 Transmission Design and Control of EVs |
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245 | (30) |
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245 | (3) |
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7.2 EVs Equipped with IMT Powertrain System |
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248 | (5) |
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253 | (6) |
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7.4 Oscillation Damping Controller Design |
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259 | (6) |
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265 | (6) |
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271 | (4) |
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272 | (1) |
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272 | (2) |
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274 | (1) |
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8 Brake-Blending Control of EVs |
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275 | (34) |
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275 | (3) |
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8.2 Brake-Blending System Modeling |
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278 | (5) |
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8.3 Regenerative Braking Energy-Management Strategy |
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283 | (9) |
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8.4 Dynamic Brake-Blending Control Algorithm |
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292 | (14) |
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306 | (3) |
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306 | (2) |
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308 | (1) |
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9 Dynamics Control for EVs |
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309 | (30) |
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309 | (6) |
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9.2 Modeling and Control of EVs |
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315 | (6) |
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9.3 Sensing and Estimation |
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321 | (5) |
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9.4 Active Safety Control |
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326 | (6) |
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9.5 Riding and Energy Efficiency Control |
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332 | (4) |
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336 | (3) |
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336 | (3) |
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10 Robust Gain-Scheduling Control of Vehicle Lateral Dynamics Through AFS/DYC |
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339 | (30) |
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339 | (3) |
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10.2 Development of Uncertain Vehicle Dynamics Model |
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342 | (13) |
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355 | (4) |
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359 | (5) |
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364 | (5) |
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365 | (1) |
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365 | (4) |
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11 State and Parameter Estimation of EVs |
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369 | (40) |
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369 | (3) |
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11.2 Velocity Estimation (Longitudinal, and Total, Preferred Method and Alternatives) |
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372 | (2) |
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11.3 Slip-Angle Estimation |
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374 | (7) |
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11.4 Tire-Force and Tire---Road Friction Coefficient Estimation |
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381 | (14) |
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11.5 Vehicle Mass- and Road Slope-Estimation Method |
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395 | (10) |
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405 | (4) |
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406 | (1) |
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407 | (2) |
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12 Modeling and Fault-Tolerant-Control of Four-Wheel-Independent-Drive EVs |
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409 | (42) |
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409 | (2) |
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12.2 System Modeling and Problem Formulation |
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411 | (7) |
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12.3 Fault-Tolerant Tracking Controller Design |
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418 | (19) |
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12.4 Simulation Investigations |
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437 | (11) |
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448 | (3) |
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448 | (3) |
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13 Integrated System Design and Energy Management of Plug-In Hybrid Electric Vehicles |
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451 | (24) |
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451 | (2) |
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453 | (2) |
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455 | (8) |
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13.4 Emission Mitigation via Renewable Energy Integration |
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463 | (2) |
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13.5 Optimal Scenario With Integrated System Design and Energy Management |
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465 | (3) |
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13.6 Battery-Health Implication |
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468 | (3) |
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471 | (4) |
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473 | (1) |
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474 | (1) |
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14 Integration of EVs With a Smart Grid |
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475 | (22) |
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475 | (2) |
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477 | (6) |
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14.3 Formulation of Cost-Optimal Control Problem |
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483 | (2) |
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14.4 Results and Discussion |
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485 | (9) |
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494 | (3) |
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495 | (2) |
| Index |
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497 | |
Haiping Du has more than 15-year experience on the area of modelling, dynamics and control of electrified vehicles. Dr Du received his PhD degree in mechanical design and theory from Shanghai Jiao Tong University, Shanghai, PR China, in 2002. Previously, Dr Du worked as Research Fellow in University of Technology, Sydney and as Post-Doctoral Research Associate in Imperial College London and the University of Hong Kong, respectively. Dongpu Cao received the Ph.D. degree from Concordia University, Canada, in 2008. He is currently an Associate Professor at University of Waterloo, Canada. His research focuses on vehicle dynamics and control, automated driving and parallel driving, where he has contributed more than 100 publications and 1 US patent. He received the ASME AVTT2010 Best Paper Award and 2012 SAE Arch T. Colwell Merit Award. Dr. Cao serves as an Associate Editor for IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE/ASME TRANSACTIONS ON MECHATRONICS and ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. He has been a Guest Editor for VEHICLE SYSTEM DYNAMICS, and IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS. He serves on the SAE International Vehicle Dynamics Standards Committee and a few ASME, SAE, IEEE technical committees. Professor Zhang received his PhD degree in Mechanical Engineering from the University of Victoria, Canada and undertook three years of postdoctoral work at The Ohio State University, USA. He has published more than 70 peer-reviewed journal papers. Moreover, he has successfully organized 5 special issues for Mechanical Systems and Signal
Processing, Journal of The Franklin Institute, International Journal of Vehicle Design, IEEE Access, and Mechatronics.
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