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Efficient cloud-based cabin preconditioning
for EVs with a compact heat pump system
EVS-30, October 11, 2017
Dr. Andrés Caldevilla
Technology Planning Department
DENSO AUTOMOTIVE Deutschland GmbH
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
Agenda
1. OPTEMUS project technologies
2. Preconditioning strategy
3. Preconditioning HMI
4. Compact Refrigeration Unit (CRU)
5. Evaluation
6. Conclusion
2
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
1) OPTEMUS project technologies
3
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
2) Preconditioning strategy
I) User-triggered
• User indicates desired “boarding”-time and temperature
• Triggered by the user over app
4
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
2) Preconditioning strategy
II) Predictive
• Vehicle foresees driver’s approach and starts the preconditioning process correspondingly
• Event-triggered (events defined in user’s profile)
5
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
2) Preconditioning strategy
6
II.a) Predictive
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
2) Preconditioning strategy
7
II.b) Pseudo-predictive
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
3) Preconditioning HMI
8
I) User-triggered
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
3) Preconditioning HMI
9
II.b) Pseudo-predictive
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
3) Preconditioning HMI
10
IFPEN
servers
Eco-routing functionality
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
4) Compact Refrigeration Unit (CRU)
Water-to-Water heat-pump system
• two-plate type heat exchangers
• water-glycol mixture as fluid
• natural gas as refrigerant
11
ECM
Invert
er
HVAC
Battery
CRU
Engine
TMECU
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
5) Evaluation → Strategy simulation
12
Energy reduction of 46% can be achieved by preconditioning succesively
with the blower and the CRU
• Mid-sized vehicle, 35°C ambient temperature, 40% relative humidity, 800W/m2 sun load
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
5) Evaluation → Prototype testing
13
RadiatorHVACCRU
Ambient
Heating
with de-humidification
Dehumidification
RadiatorHVACCRU
Ambient
Cooling
with de-humidification
Dehumidification
𝑇𝑐𝑎𝑏
∗
= 20°C 𝑇𝑐𝑎𝑏
∗
= 20°C
𝑇𝑎,𝐻𝐶,𝑜𝑢𝑡 𝑇𝑎,𝐻𝐶,𝑜𝑢𝑡
Cabin Cabin
𝑇𝑎𝑚𝑏 = −10°𝐶 𝑇𝑎𝑚𝑏 = 30°𝐶
𝑇𝑎,𝐶𝐶,𝑜𝑢𝑡 𝑇𝑎,𝐶𝐶,𝑜𝑢𝑡
The CRU increases the driving range by 31% compared to PTC-heater
/14
EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH
© DENSO COPORATION All RightsReserved.
6) Conclusion
DENSO has developed a compact and efficient Water-to-Water heat-pump
system based on natural refrigerant
• Full cabin cooling and heating power possible in range from -20° to 40°C
• All modes possible to realize with water shut-valves and tacting control of valves
• Easy to install and well established control for water management
Next steps
• Design optimization
• Control
o Multiple-in-Multiple-out control on water circuit and HVAC-unit
o Proportional valves implementation
• Integration
o Battery pack conditioning
o Excess heat harvesting optimization
14
EVS-30: Efficient cloud-based cabin preconditioning for EVs with a compact heat pump system

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EVS-30: Efficient cloud-based cabin preconditioning for EVs with a compact heat pump system

  • 1. Efficient cloud-based cabin preconditioning for EVs with a compact heat pump system EVS-30, October 11, 2017 Dr. Andrés Caldevilla Technology Planning Department DENSO AUTOMOTIVE Deutschland GmbH
  • 2. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. Agenda 1. OPTEMUS project technologies 2. Preconditioning strategy 3. Preconditioning HMI 4. Compact Refrigeration Unit (CRU) 5. Evaluation 6. Conclusion 2
  • 3. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 1) OPTEMUS project technologies 3
  • 4. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 2) Preconditioning strategy I) User-triggered • User indicates desired “boarding”-time and temperature • Triggered by the user over app 4
  • 5. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 2) Preconditioning strategy II) Predictive • Vehicle foresees driver’s approach and starts the preconditioning process correspondingly • Event-triggered (events defined in user’s profile) 5
  • 6. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 2) Preconditioning strategy 6 II.a) Predictive
  • 7. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 2) Preconditioning strategy 7 II.b) Pseudo-predictive
  • 8. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 3) Preconditioning HMI 8 I) User-triggered
  • 9. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 3) Preconditioning HMI 9 II.b) Pseudo-predictive
  • 10. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 3) Preconditioning HMI 10 IFPEN servers Eco-routing functionality
  • 11. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 4) Compact Refrigeration Unit (CRU) Water-to-Water heat-pump system • two-plate type heat exchangers • water-glycol mixture as fluid • natural gas as refrigerant 11 ECM Invert er HVAC Battery CRU Engine TMECU
  • 12. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 5) Evaluation → Strategy simulation 12 Energy reduction of 46% can be achieved by preconditioning succesively with the blower and the CRU • Mid-sized vehicle, 35°C ambient temperature, 40% relative humidity, 800W/m2 sun load
  • 13. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 5) Evaluation → Prototype testing 13 RadiatorHVACCRU Ambient Heating with de-humidification Dehumidification RadiatorHVACCRU Ambient Cooling with de-humidification Dehumidification 𝑇𝑐𝑎𝑏 ∗ = 20°C 𝑇𝑐𝑎𝑏 ∗ = 20°C 𝑇𝑎,𝐻𝐶,𝑜𝑢𝑡 𝑇𝑎,𝐻𝐶,𝑜𝑢𝑡 Cabin Cabin 𝑇𝑎𝑚𝑏 = −10°𝐶 𝑇𝑎𝑚𝑏 = 30°𝐶 𝑇𝑎,𝐶𝐶,𝑜𝑢𝑡 𝑇𝑎,𝐶𝐶,𝑜𝑢𝑡 The CRU increases the driving range by 31% compared to PTC-heater
  • 14. /14 EVS-30 / October 11, 2017 / Dr. Andrés Caldevilla / DENSO AUTOMOTIVE Deutschland GmbH © DENSO COPORATION All RightsReserved. 6) Conclusion DENSO has developed a compact and efficient Water-to-Water heat-pump system based on natural refrigerant • Full cabin cooling and heating power possible in range from -20° to 40°C • All modes possible to realize with water shut-valves and tacting control of valves • Easy to install and well established control for water management Next steps • Design optimization • Control o Multiple-in-Multiple-out control on water circuit and HVAC-unit o Proportional valves implementation • Integration o Battery pack conditioning o Excess heat harvesting optimization 14