Abstract
The reduction of CO2 emissions and fuel consumption is a continuous challenge towards the optimization of hybrid and electric vehicles. The approach in this paper is to use the claw pole alternator as boost-recuperation-machine (BRM), to realize a mild hybrid electrical vehicle. The investigated parameters are the control strategy and the pulley ratio of the BRM. These parameters are easily adjustable and influence the fuel consumption in the range of several ml/100km. For such minimal fuel savings an appropriate method is needed, which differs fundamentally to full hybrid optimization methods. To assess such small values the State-of-Charge (SOC) in the battery must be kept neutral during a driving cycle. Besides the SOC-neutral driving and a fast convergence behavior is essential. Consequently, several methods for optimization are considered, compared and improved. To improve the optimization progress optimization loops are used to analyze and optimize the system. Finally, the developed method is applied on a boost-recuperation-system (BRS) to minimize the fuel consumption.
| Original language | English |
|---|---|
| Title of host publication | 2014 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2014 |
| Publisher | IEEE Computer Society |
| Pages | 498-505 |
| Number of pages | 8 |
| ISBN (Print) | 9781479951833 |
| DOIs | |
| State | Published - 2014 |
| Event | 2014 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2014 - Bran, Romania Duration: 22 May 2014 → 24 May 2014 |
Publication series
| Name | 2014 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2014 |
|---|
Conference
| Conference | 2014 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2014 |
|---|---|
| Country/Territory | Romania |
| City | Bran |
| Period | 22/05/14 → 24/05/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
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