SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Larsson Viktor)
 

Sökning: WFRF:(Larsson Viktor) > Charge Planning and...

Charge Planning and Thermal Management of Battery Electric Vehicles

Hamednia, Ahad, 1990 (författare)
Chalmers tekniska högskola,Chalmers University of Technology,Volvo
Hanson, Victor (författare)
Volvo
Zhao, Jiaming (författare)
Volvo
visa fler...
Murgovski, Nikolce, 1980 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Forsman, Jimmy (författare)
Volvo
Pourabdollah, Mitra, 1984 (författare)
Chalmers tekniska högskola,Chalmers University of Technology,Volvo
Larsson, Viktor, 1984 (författare)
Volvo,Chalmers tekniska högskola,Chalmers University of Technology
Fredriksson, Jonas, 1972 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
visa färre...
 (creator_code:org_t)
2023
2023
Engelska.
Ingår i: IEEE Transactions on Vehicular Technology. - 0018-9545 .- 1939-9359. ; 72:11, s. 14141-14154
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • This paper studies optimal thermal management and charging of a battery electric vehicle driving over long-distance trips. The focus is on the potential benefits of including a heat pump in the thermal management system for waste heat recovery, and charging point planning, in a way to achieve optimality in time, energy, or their trade-off. An optimal control problem is formulated, in which the objective function includes the energy delivered by the charger(s), and the total charging time including the actual charging time and the detour time to and from the charging stop. To reduce the computational complexity, the formulated problem is then transformed into a hybrid dynamical system, where charging dynamics are modeled in the domain of normalized charging time. Driving dynamics can be modeled in either trip time or travel distance domains, as the vehicle speed is assumed to be known a priori, and the vehicle is only stopping at charging locations. Within the hybrid dynamical system, a binary variable is introduced for each charging location, in order to decide whether to use or skip a charger. This problem is solved numerically, and simulations are performed to evaluate the performance in terms of energy efficiency and time. The simulation results indicate that the time required for charging and total energy consumption are reduced up to $30.6\%$ and $19.4\%$, respectively, by applying the proposed algorithm.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Nyckelord

Resistance heating
thermal management
Mechanical power transmission
charge point planning
Thermal management
Grid-to-meter energy efficiency
HVAC
Batteries
heat pump
Heat transfer
charging
Heat pumps

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy