Preface |
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ix | |
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1 | (4) |
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2 Co-Design Optimization for Cyber-Physical Vehicle System |
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5 | (18) |
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5 | (6) |
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2.1.1 Hierarchical Optimization Methodology |
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5 | (1) |
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5 | (2) |
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7 | (1) |
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2.1.4 D riving Style Recognition |
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7 | (2) |
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2.1.5 Requirements for the Design and Optimization of CPVS |
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9 | (1) |
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2.1.6 Constraints for Vehicle Design and Optimization |
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10 | (1) |
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2.2 System Modeling and Validation |
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11 | (2) |
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2.2.1 Electric Powertrain system |
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11 | (1) |
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2.2.2 Blended Brake System |
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12 | (1) |
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2.2.3 Dynamic Model of the Vehicle and Tyre |
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12 | (1) |
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2.2.4 Experimental Validation |
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13 | (1) |
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2.3 Controller Design for Different Driving Styles |
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13 | (3) |
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2.3.1 High-Level Controller Architecture |
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13 | (1) |
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2.3.2 Low-Level Controller for Different Driving Styles |
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14 | (2) |
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2.4 Driving-Style-Based Performance Exploration and Parameter Optimization |
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16 | (2) |
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2.4.1 Design Space Exploration |
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16 | (1) |
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2.4.2 Performance Exploration Methodology |
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16 | (1) |
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2.4.3 Driving-Style-Oriented Multi-Objective Optimization |
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16 | (2) |
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2.5 Optimization Results and Analysis |
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18 | (5) |
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2.5.1 Optimization Results for the Aggressive Driving Style |
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19 | (1) |
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2.5.2 Optimization Results of the Moderate Driving Style |
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19 | (2) |
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2.5.3 Optimization Results of the Conservative Driving Style |
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21 | (1) |
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2.5.4 Comparison and Discussion |
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21 | (2) |
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3 State Estimation of Cyber-Physical Vehicle Systems |
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23 | (20) |
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3.1 Multilayer Artificial Neural Networks Architecture |
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25 | (2) |
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3.1.1 System Architecture |
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25 | (1) |
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3.1.2 Multilayer Feed-Forward Neural Network |
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25 | (2) |
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3.2 Standard Backpropagation Algorithm |
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27 | (3) |
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3.3 Levenberg--Marquardt Backpropagation |
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30 | (3) |
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3.4 Experimental Testing and Data Collection |
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33 | (5) |
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3.4.1 Testing Vehicle and Scenario |
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33 | (2) |
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3.4.2 Data Collection and Processing |
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35 | (1) |
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3.4.3 Feature Selection and Model Training |
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35 | (3) |
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3.5 Experiment Results and Discussions |
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38 | (5) |
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3.5.1 Results of the ANN-Based Braking Pressure Estimation |
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38 | (2) |
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3.5.2 Importance Analysis of the Selected Features |
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40 | (1) |
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3.5.3 Comparison of Estimation Results with Different Learning Methods |
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40 | (3) |
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4 Controller Design of Cyber-Physical Vehicle Systems |
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43 | (18) |
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4.1 Description of the Newly Proposed BBW System |
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45 | (2) |
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4.2 Control Algorithm Design for Hydraulic Pump-Based Pressure Modulation |
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47 | (2) |
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4.3 Control Algorithm Design for Closed-Loop Pressure-Difference-Limiting Modulation |
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49 | (5) |
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4.3.1 Linear Modulation of On/Off Valve |
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49 | (4) |
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4.3.2 Closed-Loop Pressure-Difference-Limiting Control |
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53 | (1) |
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4.4 Hardware-in-the-Loop Test Results |
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54 | (7) |
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4.4.1 Comparison of HPBPM and CLPDL Control |
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56 | (3) |
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4.4.2 Brake Blending Algorithm Based on CLPDL Modulation |
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59 | (2) |
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61 | (2) |
References |
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63 | (10) |
Authors' Biographies |
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73 | |