Chance Constrained Optimization for Energy Management in Electric Vehicles
<p>E-powertrain of future electric vehicles could consist of energy generation units (e.g., fuel cells and photovoltaic modules), energy storage systems (e.g., batteries and supercapacitors), energy conversion units (e.g., bidirectional DC/DC converters and DC/AC inverters) and an electric mac...
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| Format: | Book |
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Trends in Computer Science and Information Technology - Peertechz Publications,
2020-08-29.
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|---|---|---|---|
| 001 | peertech__10_17352_tcsit_000019 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Erfan Mohagheghi |e author |
| 700 | 1 | 0 | |a Joan Gubianes Gasso |e author |
| 700 | 1 | 0 | |a Abebe Geletu |e author |
| 700 | 1 | 0 | |a Pu Li |e author |
| 245 | 0 | 0 | |a Chance Constrained Optimization for Energy Management in Electric Vehicles |
| 260 | |b Trends in Computer Science and Information Technology - Peertechz Publications, |c 2020-08-29. | ||
| 520 | |a <p>E-powertrain of future electric vehicles could consist of energy generation units (e.g., fuel cells and photovoltaic modules), energy storage systems (e.g., batteries and supercapacitors), energy conversion units (e.g., bidirectional DC/DC converters and DC/AC inverters) and an electric machine, which can work in both generating and motoring modes [1-6]. An energy management system is responsible to operate the above-mentioned components in a way that the technical constraints are satisfied.</p> | ||
| 540 | |a Copyright © Erfan Mohagheghi et al. | ||
| 546 | |a en | ||
| 655 | 7 | |a Opinion |2 local | |
| 856 | 4 | 1 | |u https://doi.org/10.17352/tcsit.000019 |z Connect to this object online. |