Optimal Control of a Block Heater for an Improved Vehicle Warm-Up

Müller, Eric A.; Onder, Christopher H.; Guzzella, Lino; Mann, K. S.

doi:10.1016/s1474-6670(17)30327-0

Cited by 1 publication

(2 citation statements)

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“…Off-line thermal comfort management was more extensively studied for conventional and hybrid electric vehicles (HEVs). In [7][8][9], the authors developed an off-line approach that allows the best compromise between thermal comfort and fuel economy, over a trip of 1200 s. Other works solve the optimization problem in HEVs over a longer trip of 3000 s [10], which can be more representative of a realistic driving time.…”

Section: Energy and Thermal Comfort Management Methodsmentioning

confidence: 99%

“…Q e at the evaporator allows next to determine the temperature and pressure of the refrigerant fluid, and more importantly, the thermodynamic properties of the outlet air. By combining (A8) and ( 9), one can resolve the heat balance Equation (7), and calculate the evaporating temperature of the refrigerant. Since it is in thermodynamic equilibrium, its pressure depends only on T 7 :…”

Section: Conflicts Of Interestmentioning

confidence: 99%

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Optimal Management of Thermal Comfort and Driving Range in Electric Vehicles

et al. 2020

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The HVAC system represents the main auxiliary load in battery-powered electric vehicles (BEVs) and requires efficient control approaches that balance energy saving and thermal comfort. On the one hand, passengers always demand more comfort, but on the other hand the HVAC system consumption strongly impacts the vehicle’s driving range, which constitutes a major concern in BEVs. In this paper, a thermal comfort management approach that optimizes the thermal comfort while preserving the driving range during a trip is proposed. The electric vehicle is first modeled together with the HVAC and the passengers’ thermo-physiological behavior. Then, the thermal comfort management issue is formulated as an optimization problem solved by dynamic programing. Two representative test-cases of hot climates and traffic situations are simulated. In the first one, the energetic cost and ratio of improved comfort is quantified for different meteorological and traffic conditions. The second one highlights the traffic situation in which a trade-off between the driving speed and thermal comfort is important. A large number of weather and traffic situations are simulated and results show the efficiency of the proposed approach in minimizing energy consumption while maintaining a good comfort.

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