Placeholder text

Predictive Battery Thermal Management of Electric Vehicles using Deep Learning

Predictive Battery Thermal Management of Electric Vehicles using Deep Learning

0 - Default Title
Description
Improving the energy efficiency of battery electric vehicles increases their range and reduces well-to-wheel emissions. An efficient battery thermal management reduces the energy consumption while taking temperature- dependent battery ageing and power availability into account. This work presents a method for a predictive cooling strategy to reduce the energy consumption, using information about the route ahead and Quantile Neural Networks (Q*NN) for accurate predictions.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
224
Release Date:
2025-11-24
Publication Date:
2025-11-24
Publisher:
Karlsruher Institut für Technologie
Languages:
Original: English
ISBN10:
373151429X
ISBN13:
9783731514299
Weight:
331 g
Height:
148 cm
Width:
210 cm
Thickness:
15 cm
Currently sold out