Design of an Automatic Control Algorithm for Energy-Efficient ...

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9 The MUTE project In the MUTE project a cooperation of 20 departments of the TU München and partners from industry want to show the feasibility of a usable and competitive electric car through innovative and new technology. Therefore, a MUTE prototype car is developed at the moment. 9.1 The electric car MUTE Figure 9.1: The MUTE car design. [38] A preliminary rendering of the design is shown in Figure 9.1. The car can transport two persons and two pieces of luggage. This limitation makes a design possible that is small and lightweight enough to be registered under the L7E license (subcompact car). This leads to reduced tax paying for the customer and lower technical requirements. In
9 The MUTE project 95 order to fit into this car class the vehicle has to have a weight below �� (the MUTE car will add �� of battery to this) [38]. The engine output is limited to �� as well. The guaranteed range, which is an important figure for an electric car, is planned to be �� . This is realised by a rechargeable battery and - for exceptional cases - an electric range extender, which consists of a normal battery. The planned top speed is �� . The batteries are the main cause for high prices of electric (and hybrid) cars � today available, but lower energy costs can compensate for these over their live-time. The project’s goal is to reach a TCO (total cost of ownership) equalling the on of a today’s compact car. Focus for the product design is the middle European market. Apart from these “basic” features, innovative ideas are going to be realised. A mobile internet connection allows to use web-based applications and the car can be remote controlled. A new developed aluminium frame and car casing made completely out of carbon composite are used for the passenger cabin in order to save weight. This makes the plan different from the car manufacturers’ electric cars, where the fuel engine is replaced by an electric one, but not a lot more changed. However, the concept of the TU München has still to proof that it is usable in reality. 9.2 Climatisation in the MUTE car Figure 9.2: The MUTE car HVAC-system. [38] The HVAC-hardware has to be as lightweight as possible since weight is an important factor for the MUTE development. Therefore, it was decided to only have basic
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ISSN 0280-5316 ISRN LUTFD2/TFRT--58
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Diploma thesis subject Problem stat
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Acknowledgements ii Acknowledgement
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Acknowledgements iv 3.1.4 Windscree
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Acknowledgements vi 8.5 System simu
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Nomenclature viii Nomenclature Symb
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Nomenclature x Other symbols Symbol
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Nomenclature xii Subscript Descript
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1 Introduction Energy consumption t
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1 Introduction 3 adjustment of the
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2 Control objectives 5 2.1 Windscre
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2 Control objectives 7 2.2 Comfort
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2 Control objectives 9 � Metaboli
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2 Control objectives 11 ��
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2 Control objectives 13 Figure 2.6:
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2 Control objectives 15 2.4 Influen
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3 System description 17 or heat com
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3 System description 19 calculated
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3 System description 21 ��
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3 System description 23 � � �
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3 System description 25 defrost tem
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3 System description 27 Figure 3.4:
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3 System description 29 width modul
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3 System description 31 ��
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3 System description 33 shown in Fi
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3 System description 35 of performa
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4 Control strategy The main goal of
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4 Control strategy 39 limits are di
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4 Control strategy 41 ��
Page 63 and 64: 4 Control strategy 43 cabin. This s
Page 65 and 66: 4 Control strategy 45 controlled. T
Page 67 and 68: 5 The disturbance estimator 47 in e
Page 69 and 70: 6 The optimiser: an evolutionary al
Page 89 and 90: 7 The HVAC-system controller 69 �
Page 91 and 92: 7 The HVAC-system controller 71 7.5
Page 93 and 94: 8 System and functionality integrat
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Page 117 and 118: 10 Hardware and characteristics of
Page 129 and 130: 11 Matlab implementation The climat
Page 131 and 132: 11 Matlab implementation 111 Only r
Page 133 and 134: 11 Matlab implementation 113 left i
Page 135 and 136: 11 Matlab implementation 115 tion a
Page 137 and 138: 12 Controller evaluation 117 ��
Page 139 and 140: 12 Controller evaluation 119 be not
Page 141 and 142: 12 Controller evaluation 121 Number
Page 143 and 144: 12 Controller evaluation 123 Table
Page 145 and 146: 12 Controller evaluation 125 In the
Page 147 and 148: 12 Controller evaluation 127 ��
Page 149 and 150: 13 Conclusion 129 13.2 Possible imp
Page 151 and 152: Bibliography [1] Holger Großmann.
Page 153 and 154: Bibliography 133 [22] M. Wang, T.M.
Page 155 and 156: Appendices
Page 157 and 158: B In- and outputs The interface bet
Page 159 and 160: Signal Unit Range Type Comment Stat
Page 161 and 162: In- and outputs 141 B.3 Error codes
Page 163 and 164: and system parameters 2 concentrati
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Simulation parameters 145 C.2 Contr
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Simulation parameters 147 Panic han
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Simulation parameters 149 C.5 Test
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Additional simulation results 151 D
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Optimiser code 153 real_T ∗panic_
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Optimiser code 155 52 return 10; 54
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Optimiser code 157 138 /∗ return
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Optimiser code 159 230 ∗/ ∗ ===
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Optimiser code 161 ∗ IMEA_breedin
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Optimiser code 163 414 } 416 } } st
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Optimiser code 165 if (sortedPop [
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Optimiser code 167 596 ∗ Printout
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Optimiser code 169 690 ∗ Latest R
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