A Study on User-Data-Driven Coordinated Control of Hybrid Energy and Heating Systems
Abstract
loads. This paper proposes a user-data-driven energy–thermal coordinated management strategy for hybrid vehicles. Navigation and historical
routes are used to predict trip distance, while ambient temperature, battery state of charge (SOC), initial battery temperature, road gradient and
driving style are used to evaluate heating benefit. The target battery temperature is adjusted online, and heating film/PTC power is coordinated
with engine waste heat. Engine-assisted heating is enabled only when predicted distance and power demand justify the fuel and NVH cost of
starting the engine. Tests on a 28 kWh range-extended vehicle show auxiliary-energy reductions of up to 13.73% in 5 km and 15 km cycles
while preserving low-temperature power.
Keywords
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DOI: http://dx.doi.org/10.70711/frim.v4i9.10228
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