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python实现ECMS算法

ECMS(Equivalent Consumption Minimization Strategy)算法是一种用于混合动力汽车能量管理系统的优化策略。它通过计算等效油耗来平衡电池电量消耗和燃油消耗,从而优化整体能耗。

以下是一个简单的Python实现,用于演示ECMS算法的基本思想。这个实现假设了一个简单的混合动力汽车模型,其中电池电量和燃油消耗是主要的优化目标。

import numpy as np
class HybridVehicle:
def __init__(self, initial_battery_soc, battery_capacity, fuel_efficiency, equivalent_factor):
self.battery_soc = initial_battery_soc # State of Charge (0 to 1)
self.battery_capacity = battery_capacity # Battery capacity in kWh
self.fuel_efficiency = fuel_efficiency # Fuel efficiency in km/L
self.equivalent_factor = equivalent_factor # Equivalent factor for converting electric energy to fuel equivalent
def consume_electricity(self, energy_kwh):
self.battery_soc -= energy_kwh / self.battery_capacity
if self.battery_soc < 0:
self.battery_soc = 0
def consume_fuel(self, fuel_liters):
# No direct effect on battery SOC, but affects overall energy consumption
pass
def calculate_equivalent_consumption(self, electric_energy_kwh, distance_km):
electric_energy_mj = electric_energy_kwh * 3.6 # Convert kWh to MJ
fuel_equivalent_liters = electric_energy_mj / (self.equivalent_factor * self.fuel_efficiency * 3.6) # Convert MJ to fuel equivalent liters
return fuel_equivalent_liters + (distance_km / self.fuel_efficiency) # Total equivalent consumption in liters
def ecms_strategy(vehicle, route_distances_km, electric_powers_kw):
"""
route_distances_km: List of distances for each segment in km
electric_powers_kw: List of electric powers for each segment in kW
"""
total_equivalent_consumption = 0.0
for distance_km, electric_power_kw in zip(route_distances_km, electric_powers_kw):
duration_hours = distance_km / (vehicle.fuel_efficiency * 10) # Assuming average speed of 10 km/L for fuel consumption calculation
electric_energy_kwh = electric_power_kw * duration_hours # Calculate energy consumption in kWh
vehicle.consume_electricity(electric_energy_kwh)
equivalent_consumption = vehicle.calculate_equivalent_consumption(electric_energy_kwh, distance_km)
total_equivalent_consumption += equivalent_consumption
# Optionally, you can add fuel consumption based on equivalent consumption
# vehicle.consume_fuel(equivalent_consumption - (distance_km / vehicle.fuel_efficiency))
print(f"Distance: {distance_km} km, Electric Power: {electric_power_kw} kW, "
f"Electric Energy: {electric_energy_kwh} kWh, SOC: {vehicle.battery_soc:.2f}, "
f"Equivalent Consumption: {equivalent_consumption:.2f} L")
print(f"Total Equivalent Consumption: {total_equivalent_consumption:.2f} L")
return total_equivalent_consumption
# Example usage
vehicle = HybridVehicle(initial_battery_soc=1.0, battery_capacity=10.0, fuel_efficiency=10.0, equivalent_factor=2.0)
route_distances_km = [10, 20, 30] # Example route distances
electric_powers_kw = [10, 20, 15] # Example electric powers
ecms_strategy(vehicle, route_distances_km, electric_powers_kw)

解释

  1. HybridVehicle 类
    • __init__ 方法初始化车辆参数,包括初始电池电量(SOC)、电池容量、燃油效率和等效因子。
    • consume_electricity 方法用于消耗电池电量。
    • consume_fuel 方法(当前为空)用于消耗燃油。
    • calculate_equivalent_consumption 方法计算等效油耗,包括电耗的等效油耗和直接燃油消耗。
  2. ecms_strategy 函数
    • 输入为车辆对象、行驶距离列表和电动功率列表。
    • 遍历每个行驶段,计算持续时间、电耗、等效油耗和总等效油耗。
    • 打印每个段的详细信息。
  3. 示例使用
    • 创建一个车辆对象,并定义行驶距离和电动功率。
    • 调用 ecms_strategy 函数执行 ECMS 策略。

原文地址:https://blog.csdn.net/weixin_45570158/article/details/142714641

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