Hybrid Vehicle Trip Planning Control System
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Solution Overview
Problem
Current trip planning for hybrid vehicles is insufficient as it fails to efficiently manage the operation of both the engine and energy storage device, leading to inefficiencies and potential battery degradation due to the lack of consideration for various trip variables such as weather, speed limits, and energy usage patterns.
Innovation Solution
A control system that determines changes in the life of the on-board energy storage device and fuel usage based on vehicle subsystem operations, switching operating modes to optimize battery life and fuel efficiency by leveraging battery life and thermal models, and making decisions on when to use the battery to supplement the engine, while also considering the cost of fuel burn versus energy savings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If greedy algorithms are used to determine when to charge and discharge a battery, then the control process is simplified, but the trip plan goals may not be achieved
Solution Approach 1:
The control system continuously monitors battery state of charge, temperature, and power flow, using this feedback to dynamically adjust charge/discharge decisions. This closed-loop control ensures trip plan goals are met while maintaining operational simplicity through automated real-time adjustments rather than complex pre-planning algorithms.
Solution Approach 2:
The hybrid vehicle's control system automatically manages battery charge/discharge operations based on real-time vehicle operating conditions, fuel state, and trip requirements. The system serves itself by making autonomous decisions about energy management without requiring complex external algorithms or manual intervention, achieving both simplicity and reliability.
2Reliability
If the cooling subsystem operates continuously to reduce battery thermal characteristics, then battery life is extended, but fuel consumption increases
Solution Approach 1:
The cooling subsystem operates periodically rather than continuously, activating when battery temperature thresholds are exceeded and deactivating when temperatures are within acceptable ranges. This periodic operation extends battery life through thermal management while minimizing fuel consumption by avoiding unnecessary continuous cooling operations.
Solution Approach 2:
The control system dynamically adjusts cooling subsystem operation parameters (on/off timing, intensity) based on real-time battery temperature, state of charge, and vehicle operating conditions. By changing these parameters adaptively, the system extends battery life only when thermally necessary while minimizing the energy/fuel penalty associated with cooling operations.
3Speed
If the engine operates at high power to meet trip objectives, then arrival time is achieved, but fuel efficiency decreases
Solution Approach 1:
The control system dynamically adjusts engine power output and battery charge/discharge rates in real-time based on vehicle speed, load conditions, and trip objectives. Rather than operating the engine at fixed high power, the system modulates power delivery dynamically, using the battery to supplement during high-power需求的 periods and recover energy during braking, achieving trip objectives while optimizing fuel efficiency.
Solution Approach 2:
The control system performs preliminary assessments of trip requirements, terrain, and vehicle state to pre-plan optimal engine-battery power distribution. By anticipating future power needs and preparing the battery charge state in advance, the system can meet trip objectives without requiring excessive engine power, thereby improving overall fuel efficiency.
Data Source
AI summary
A system and method generate a trip plan for a trip of a vehicle system along a route. The usage of an engine during the trip is determined based on engine operational parameters, energy storage device operational parameters, and one or more objectives of the trip desired to be achieved. The usage of the energy storage device during the trip is also determined based on the engine operational parameters, the energy storage device operational parameters, and the one or more objective, including when to charge or discharge the energy storage device during the trip.